Cited by 278Smart Cities and TechnologiesAI and Big Data ApplicationsSustainable Urban and Rural Development

On the sustainability of smart and smarter cities in the era of big data: an interdisciplinary and transdisciplinary literature review

Open access
Bibri, Simon Elias·2019·Journal of Big Data

Abstract

There has recently been a conscious push for cities across the globe to be smart and even smarter and thus more sustainable by developing and implementing big data technologies and their applications across various urban domains in the hopes of reaching the required level of sustainability and improving the living standard of citizens. Having gained momentum and traction as a promising response to the needed transition towards sustainability and to the challenges of urbanisation, smart and smarter cities as approaches to data-driven urbanism are increasingly adopting the advanced forms of ICT to improve their performance in line with the goals of sustainable development and the requirements of urban growth. One of such forms that has tremendous potential to enhance urban operations, functions, services, designs, strategies, and policies in this direction is big data analytics and its application. This is due to the kind of well-informed decision-making and enhanced insights enabled by big data computing in the form of applied intelligence. However, topical studies on big data technologies and their applications in the context of smart and smarter cities tend to deal largely with economic growth and the quality of life in terms of service efficiency and betterment while overlooking and barely exploring the untapped potential of such applications for advancing sustainability. In fact, smart and smarter cities raise several issues and involve significant challenges when it comes to their development and implementation in the context of sustainability. With that in regard, this paper provides a comprehensive, state-of-the-art review and synthesis of the field of smart and smarter cities in relation to sustainability and related big data analytics and its application in terms of the underlying foundations and assumptions, research issues and debates, opportunities and benefits, technological developments, emerging trends, future practices, and challenges and open issues. This study shows that smart and smarter cities are associated with misunderstanding and deficiencies as regards their incorporation of, and contribution to, sustainability. Nevertheless, as also revealed by this study, tremendous opportunities are available for utilising big data analytics and its application in smart cities of the future to improve their contribution to the goals of sustainable development by optimising and enhancing urban operations, functions, services, designs, strategies, and policies, as well as by finding answers to challenging analytical questions and thereby advancing knowledge forms. However, just as there are immense opportunities ahead to embrace and exploit, there are enormous challenges and open issues ahead to address and overcome in order to achieve a successful implementation of big data technology and its novel applications in such cities.

AI snapshot

Written from the paper’s full text.

TL;DR

This interdisciplinary and transdisciplinary review synthesizes literature on smart and smarter cities, sustainability, and big data analytics, arguing that current smart/smarter city approaches often misunderstand or under-incorporate sustainability. It concludes that big data analytics has largely untapped potential to advance sustainability across urban domains, but significant technical, social, ethical, and governance challenges remain.

Key findings

  • The review reports that smart and smarter cities are associated with misunderstanding and deficiencies regarding sustainability: there is a weak connection between smart targets and sustainability goals, and the smart city and sustainable city landscapes are extremely fragmented at both policy and technical levels.
  • Research on big data analytics in smart and smarter cities tends to deal largely with economic growth and quality of life in terms of service efficiency and betterment, while overlooking or barely exploring the untapped potential of big data applications for advancing sustainability; many emerging smart solutions are not aligned with sustainability goals.
  • The paper identifies opportunities for big data applications to improve contributions to sustainable development by optimising and enhancing urban operations, functions, services, designs, strategies, and policies across domains including transport and traffic, mobility, energy, power grid, environment, buildings, infrastructures, urban planning, urban design, governance, healthcare, education, and public safety.
  • It cites estimates that cities consume about 67% of global energy demand and generate up to 70% of harmful GHG emissions; that digital data are projected to grow from 2.7 Zettabytes to 35 Zettabytes by 2020; and that Ahvenniemi et al. contrasted 8 smart city and 8 sustainable city assessment frameworks across 12 application domains and 958 indicators, finding a deficiency in environmental indicators.

Methods

  • The paper is a topical, methodical literature review and synthesis rather than a systematic review, using an interdisciplinary and transdisciplinary approach and combining thematic, inverted pyramid, and benchmark-study organisational approaches.
  • Literature was searched across Cristin, NTNU Open, Scopus, ScienceDirect, SpringerLink, ACM Digital Library, Sage Journals, and Google Scholar, using keywords such as “smart cities,” “smart cities AND sustainability,” “smart cities AND big data analytics,” “smarter cities AND sustainability,” and related derivatives; backward and forward literature searches were also used.
  • Selection used inclusion/exclusion criteria tied to the paper’s conceptual and thematic categories, with abstract review to assess pertinence; the review emphasises qualitative research and does not collect primary data or conduct a quantitative meta-analysis.

Limitations

  • Paper-stated: the review adopts a topical rather than systematic approach and emphasises qualitative research; the literature on big data applications for sustainable development remains scant, and the academic discourse on sustainable smart urban development is still scant and weak on empirical grounding; no full solutions or robust approaches based on big data analytics can be offered in this context.
  • Evident from the text: it is a single-author narrative synthesis without a formal systematic protocol, quantitative meta-analysis, or comprehensive quality appraisal beyond Scott’s four criteria, so selection and interpretation may be shaped by the author’s framing.
  • Evident from the text: many claims rely on prior reviews and cited works rather than new empirical evidence, and the paper itself notes ongoing challenges and open issues including privacy, security, data quality, governance, and organisational/institutional barriers.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1186/s40537-019-0182-7

Cites

139 of 139 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Claims the paper makes

0 of 327 cited sources checked · 0 supported · 0 flagged

  • Findingcitation

    Smart and smarter cities are associated with misunderstanding and deficiencies as regards their incorporation of, and contribution to, sustainability.

    “This study shows that smart and smarter cities are associated with misunderstanding and deficiencies as regards their incorporation of, and contribution to, sustainability.”
    • Also stated in: § Introduction · plain
      “However, according to a recent literature review [25], while smart and smarter cities have played a key role in transforming different areas of human life, they are still associated with misunderstanding and deficiencies with regard to incorporating the goals of sustainable development.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [25] Bibri SE, Krogstie J. Smart sustainable cities of the future: an extensive interdisciplinary literature review. Sustain Cities Soc. 2017;31:183–212. source

      Not checked in the free run.

  • Findingreasoning

    There is a great deal of diversity among smart and smarter cities in terms of previous and ongoing projects and initiatives.

    “At the practical level, to add, there is a great deal of diversity among smart and smarter cities in terms of the previous and ongoing projects and initiatives.”
    Quote in the paperNot a substantial claim
  • Findingcitation

    The current state of research in the realm of smarter cities shows that not enough focus has been given to the potential of ICT of pervasive computing for responding to sustainability challenges.

    “The current state of research in the realm of smarter cities shows that not enough focus has been given to the potential of ICT of pervasive computing for responding to the challenges of sustainability and containing the effects of urbanisation [20].”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [20] Bibri SE. Smart sustainable cities of the future: the untapped potential of big data analytics and context aware computing for advancing sustainability. Germany, Berlin: Springer; 2018. source

      Not checked in the free run.

  • Findingcitation

    Emerging ICT is being leveraged in accelerating environmental sustainability in both smart cities and sustainable cities.

    “Already, emerging ICT is being leveraged in accelerating environmental sustainability in both smart cities and sustainable cities (e.g., [5,16,21,82,112]), making it possible to approach a range of issues around environmental sustainability in cities from a whole new perspective.”
    Quote in the paperNot a substantial claim0 of 5 sources checked
    • cites [5] Al Nuaimi E, Al Neyadi H, Nader M, Al-Jaroodi J. Applications of big data to smart cities. J Internet Serv Appl. 2015;6(25):1–15.

      Not checked in the free run.

    • cites [16] Batty M, Axhausen KW, Giannotti F, Pozdnoukhov A, Bazzani A, Wachowicz M, Ouzounis G, Portugali Y. Smart cities of the future. Eur Phys J. 2012;214:481–518.

      Not checked in the free run.

    • cites [21] Bibri SE. The IoT for smart sustainable cities of the future: an analytical framework for sensor-based big data applications for environmental sustainability. Sustain Cities Soc. 2018;38:230–53. source

      Not checked in the free run.

    • cites [82] Kramers A, Höjer M, Lövehagen N, Wangel J. Smart sustainable cities: exploring ICT solutions for reduced energy use in cities. Environ Model Softw. 2014;56:52–62. source

      Not checked in the free run.

    • cites [112] Shahrokni H, Årman L, Lazarevic D, Nilsson A, Brandt N. Implementing smart urban metabolism in the Stockholm Royal Seaport: smart city SRS. J Ind Ecol. 2015;19(5):917–29. source

      Not checked in the free run.

  • Findingcitation

    Research on big data analytics and its application tends to deal largely with economic development and quality of life while overlooking issues related to different dimensions of sustainability.

    “However, research on big data analytics and its application tends to deal largely with economic development (i.e., management, optimisation, effectiveness, innovation, productivity, etc.) and the quality of life in terms of service efficiency and betterment (e.g., [15,41,54,73,77,108]) while overlooking and barely exploring the issues related to the different dimensions of sustainability.”
    Quote in the paperSubstantial claim0 of 6 sources checked
    • cites [15] Batty M. Big data, smart cities and city planning. Dialogues Hum Geog. 2013;3(3):274–9. source

      Not checked in the free run.

    • cites [41] DeRen L, JianJun C, Yuan Y. Big data in smart cities. Sci China Inf Sci. 2015;58:1–12.

      Not checked in the free run.

    • cites [54] Hashem IAT, Chang V, Anuar NB, Adewole K, Yaqoob I, Gani A, Ahmed E, Chiroma H. The role of big data in smart city. Int J Infor Manag. 2016;36:748–58. source

      Not checked in the free run.

    • cites [73] Khan Z, Anjum A, Soomro K, Tahir MA. Towards cloud based big data analytics for smart future cities. J Cloud Comput Adv Syst Appl. 2015;4:2. source

      Not checked in the free run.

    • cites [77] Khanac Z, Pervaiz Z, Abbasi AG. Towards a secure service provisioning framework in a smart city environment. Future Gener Comput Syst. 2017;77:112–35. source

      Not checked in the free run.

    • cites [108] Rathore MM, Won-HwaHong AP, Seo HC, Awan I, Saeed S. Exploiting IoT and big data analytics: defining smart digital city using real-time urban data. J SSC. 2018;40:600–10.

      Not checked in the free run.

  • Classified as probably not a substantial claim. 171
  • May combine two claims. 84
  • Probably not a substantial claim: may not pass S4 (based).

    Findingnone given

    Topical studies on big data technologies and their applications in the context of smart and smarter cities tend to deal largely with economic growth and quality of life in terms of service efficiency and betterment while overlooking and barely exploring the untapped potential of such applications for advancing sustainability.

    “However, topical studies on big data technologies and their applications in the context of smart and smarter cities tend to deal largely with economic growth and the quality of life in terms of service efficiency and betterment while overlooking and barely exploring the untapped potential of such applications for advancing sustainability.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingcitation

    The smart city concept is still without a universally agreed definition and remains difficult to pin down.

    “Notwithstanding this prevalence worldwide, the smart city concept is still without a universally agreed definition.”
    • Also stated in: § Smart cities · plain
      “The smart city continues to be a difficult concept to pin down or strictly delineate.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingreasoning

    A common thread in most definitions of smart city is its characteristic features and technological components, which are usually observed in smart city proposals, projects, and initiatives irrespective of scale, scope, national context, and available resources.

    “In this line of thinking, a common thread running in most of the definitions of smart city is its characteristic features and technological components, which are usually observed in smart city proposals, projects, and initiatives, irrespective of their scale, scope, national context, and”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingnone given

    The majority of definitions of smart cities tend to focus on integrated solutions for achieving sustainable utilisation of resources, efficient operation of infrastructures and facilities, high quality of life, and effective urban planning and governance.

    “Yet, the majority of these definitions tend to focus on integrated solutions for achieving a sustainable utilisation of resources, efficient operation of infrastructures and facilities, high quality of life, and effective urban planning and governance.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Findingreasoning

    As a common thread running through most definitions of big data, the associated information assets are of high-volume, high-variety, and high-velocity, and thus require cost-effective, innovative forms of data processing, analysis, and management.

    “However, as a common thread running through most of the definitions of big data, the associated information assets are, to reiterate, of highvolume, high-variety, and high-velocity, and thus require cost-effective, innovative forms of data processing, analysis, and management.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Findingnone given

    There is no definite definition of big data.

    “There is no definite definition of big data.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Findingnone given

    The concept of smarter cities has been associated with the orientation of smart cities towards achieving the goals of sustainability in the future.

    “In addition, the concept of smarter cities has been associated with the orientation of smart cities towards achieving the goals of sustainability in the future.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim. May combine two claims.

    Findingreasoning

    The available definitions of smart cities have several commonalities and distinctions, converging on some dimensions and diverging on others apart from technological aspects, including economic, environmental, physical, political, social, cultural, institutional, organisational, and futuristic dimensions, and differing in the extent of different sustainability dimensions and their integration.

    “In light of the above analytical account, the available definitions of smart cities have several commonalities as well as distinctions, i.e., converging on some dimensions and diverging on others apart from technological aspects, including economic, environmental, physical, political, social, cultural, institutional, organisational, and futuristic, in addition to the extent of different”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingcitation

    The recent years have witnessed a great interest in, and a proliferation of publications and scientific writings on, the topic of smart and smarter cities from diverse multi-perspectival approaches.

    “Indeed, the recent years have witnessed a great interest in, and a proliferation of publications and scientific writings on, the topic of smart and smarter cities from diverse multi-perspectival approaches, reflecting the magnitude, breadth, depth, and heterogeneity of research within the field [20,25].”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites [20] Bibri SE. Smart sustainable cities of the future: the untapped potential of big data analytics and context aware computing for advancing sustainability. Germany, Berlin: Springer; 2018. source

      Not checked in the free run.

    • cites [25] Bibri SE, Krogstie J. Smart sustainable cities of the future: an extensive interdisciplinary literature review. Sustain Cities Soc. 2017;31:183–212. source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Findingreasoning

    Smart and smarter city research remains dominated by analytical perspectives and applicable insights from broadly conceived ICT of pervasive computing.

    “Owing to its origins, smart and smarter city research remains dominated by analytical perspectives and applicable insights from broadly conceived ICT of pervasive computing.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Findingnone given

    There is a growing consensus that big data analytics and its application will create and enable immense possibilities and fascinating opportunities in the near future.

    “All in all, there is a growing consensus that big data analytics and its application will create and enable, in light of the projected advancements and innovations within related platforms, techniques, processes, and methods, immense possibilities and fascinating opportunities in the near future.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable). May combine two claims.

    Findingnone given

    In the field of smart and smarter cities, research in its various forms is inherently interdisciplinary and transdisciplinary and remarkably heterogeneous in terms of programs and endeavours.

    “In the field of smart and smarter cities, research in its various forms is inherently interdisciplinary and transdisciplinary and remarkably heterogeneous in terms of programs and endeavours.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.

    Findingnone given

    The field of smart and smarter cities merges broad streams of scholarship, which entail many research strands, and as the body of literature has evolved remarkably over the past 10 years or so, new social issues and concerns have been brought to the analysis, and new uses of technology and their ends have been proposed and criticised.

    “In all, the field of smart and smarter cities merges broad streams of scholarship, which entail many research strands, and as the body of literature on smart and smarter cities has evolved remarkably over the past 10 years or so, new social issues and concerns have been brought to the analysis, and new uses of technology and their ends have been proposed and criticised, respectively.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim. May combine two claims.

    Findingcitation

    Smart cities of today make an inadequate contribution to the goals of sustainable development and thus have poor sustainability performance.

    “The inadequate contribution of smart cities of today to the goals of sustainable development and thus their poor sustainability performance”
    Quote in the paperSubstantial claim0 of 7 sources checked
    • cites [2] Ahvenniemi H, Huovila A, Pinto-Seppä I, Airaksinen M. What are the differences between sustainable and smart cities? Cities. 2017;60:234–45. source

      Not checked in the free run.

    • cites [6] Angelidou M, Artemis P, Nicos K, Christina K, Tsarchopoulos P, Anastasia P. Enhancing sustainable urban development through smart city applications. J Sci Technol Policy Manag. 2017;9:1–25.

      Not checked in the free run.

    • cites [20] Bibri SE. Smart sustainable cities of the future: the untapped potential of big data analytics and context aware computing for advancing sustainability. Germany, Berlin: Springer; 2018. source

      Not checked in the free run.

    • cites [25] Bibri SE, Krogstie J. Smart sustainable cities of the future: an extensive interdisciplinary literature review. Sustain Cities Soc. 2017;31:183–212. source

      Not checked in the free run.

    • cites [28] Bifulco F, Tregua M, Amitrano CC, D’Auria A. ICT and sustainability in smart cities management. Int J Pub Sec Manag. 2016;29(2):132–47. source

      Not checked in the free run.

    • cites [55] Höjer M, Wangel S. Smart sustainable cities: definition and challenges. In: Hilty L, Aebischer B, editors. ICT innovations for sustainability. Berlin: Springer; 2015. p. 333–49. source

      Not checked in the free run.

    • cites [56] Hollands RG. Will the real smart city please stand up? City Anal Urban Trends Cult Theory Policy Action. 2008;12(3):303–20.

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based). May combine two claims.

    Findingnone given

    Most of the related novel applications are still under development, and thus a lot more can be done in this direction prior to their deployment.

    “Especially, most of the related novel applications are still under development, and thus, a lot more can be done in this direction prior to their deployment.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Findingnone given

    It is not until very recently that smart sustainable/sustainable smart urban development as an intellectual discourse did elicit and attract great attention among urban scholars, practitioners, and policymakers, as well as ICT experts and computer scientists working within the area of applied urban science or urban informatics, especially in the subfield of big data and its relation to urban

    “It is not until very recently that smart sustainable/sustainable smart urban development as an intellectual discourse did elicit and attract great attention among urban scholars, practitioners, and policymakers, as well as ICT experts and computer scientists working within the area of applied urban science or urban informatics, especially in the subfield of big data and its relation to urban”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingcitation

    The academic discourse on sustainable smart urban development within the relevant literature is still scant and heavily weak on empirical grounding, yet rapidly burgeoning.

    “While there is a growing interest in this flourishing field of research, the academic discourse on sustainable smart urban development within the relevant literature is still scant and also heavily weak on empirical grounding-yet rapidly burgeoning [25].”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [25] Bibri SE, Krogstie J. Smart sustainable cities of the future: an extensive interdisciplinary literature review. Sustain Cities Soc. 2017;31:183–212. source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Findingnone given

    Smarter cities typically rely on the fulfilment of the prevalent ICT visions of pervasive computing, namely Ubiquitous Computing, Ambient Intelligence, Sentient Computing, and the Internet of Things.

    “Smarter cities typically rely on the fulfilment of the prevalent ICT visions of pervasive computing, namely Ubiquitous Computing, Ambient Intelligence, Sentient Computing, and the Internet of Things.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.

    Findingreasoning

    The core enabling technologies of smart and smarter cities have become relatively financially affordable, technically advanced, and widely deployed across urban environments.

    “Explicitly, when this concept has become widespread and mature, and concurrently, most of the core enabling technologies (sensor technology, cloud computing, fog computing, distributed computing, data processing platforms, wireless communication networks, etc.) of smart and smarter cities have become relatively financially affordable, technically advanced, and widely deployed across urban”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Findingnone given

    A few studies exploring the subject of sustainable smart cities have been published in the mainstream journals.

    “Indeed, a few studies exploring the subject of sustainable smart cities have been published in the mainstream journals.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingcitation

    The orientation of these cities towards sustainability through embracing sustainable development goals within technologically and ecologically advanced nations is a new research endeavour that aims to leverage the informational landscape of smart cities in the transition towards sustainability.

    “Of importance to note is that the orientation of these cities towards sustainability through embracing and incorporating the goals of sustainable development as part of national urban development initiatives and projects within technologically and ecologically advanced nations is considered as a new research endeavour that aims to leverage the informational landscape of smart cities in the needed”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [20] Bibri SE. Smart sustainable cities of the future: the untapped potential of big data analytics and context aware computing for advancing sustainability. Germany, Berlin: Springer; 2018. source

      Not checked in the free run.

  • May combine two claims.

    Findingcitation

    Smarter cities are mainly striving for smart targets instead of sustainability goals, just like current smart cities.

    “Such cities are mainly striving for smart targets instead of sustainability goals [25], just like current smart cities [2,93].”
    Quote in the paperSubstantial claim0 of 3 sources checked
    • cites [25] Bibri SE, Krogstie J. Smart sustainable cities of the future: an extensive interdisciplinary literature review. Sustain Cities Soc. 2017;31:183–212. source

      Not checked in the free run.

    • cites [2] Ahvenniemi H, Huovila A, Pinto-Seppä I, Airaksinen M. What are the differences between sustainable and smart cities? Cities. 2017;60:234–45. source

      Not checked in the free run.

    • cites [93] Marsal-Llacuna ML, Colomer-Llinàs J, Meléndez-Frigola J. Lessons in urban monitoring taken from sustainable and livable cities to better address the smart cities initiative. Technol Forecast Social Change. 2015;90(2):611–22. source

      Not checked in the free run.

  • May combine two claims.

    Findingcitation

    The bulk of work on smarter cities has tended to deal largely with the advancement of ICT of pervasive computing and its potential only in terms of optimising economic efficiency, as well as improving quality of life in regard to better, faster, and more efficient services.

    “In more detail, notwithstanding the relative increase of research on smarter cities-pushed particularly by big data analytics and its application across various urban domains-the bulk of work has tended to deal largely with the advancement of ICT of pervasive computing and its potential only in terms of the use of its novel applications to optimise economic efficiency in terms of productivity,”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingcitation

    Big data technology and its diverse applications span many urban domains with regard to improving operational functioning, monitoring and optimising infrastructures, reducing resource consumption, providing efficient services, and streamlining planning, all in line with sustainable development.

    “This relates particularly to big data technology and its diverse applications and services, which span many urban domains with regard to improving operational functioning, monitoring and optimising infrastructures and facilities, reducing resource consumption, providing efficient and faster services to citizens to enhance the quality of their life, and streamlining planning and decision-making”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [20] Bibri SE. Smart sustainable cities of the future: the untapped potential of big data analytics and context aware computing for advancing sustainability. Germany, Berlin: Springer; 2018. source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingcitation

    Smart cities have gained traction among many national governments and international policymakers as a promising response to the challenges of sustainable development.

    “Consequently, smart cities have gained traction among particularly many national governments and international policymakers as a promising response to the challenges of sustainable development in an increasingly technologised and computerised, yet unsustainable, urbanised world [20].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [20] Bibri SE. Smart sustainable cities of the future: the untapped potential of big data analytics and context aware computing for advancing sustainability. Germany, Berlin: Springer; 2018. source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Findingcitation

    Big data analytics is a rapidly expanding research area merging computer science, data science, and complexity sciences, and becoming a ubiquitous term in understanding and solving complex challenges in many fields.

    “Therefore, big data analytics is a rapidly expanding research area merging computer science, data science, and complexity sciences [16,20], and becoming a ubiquitous term in understanding and solving complex challenges and problems in such fields as sustainable urban development, engineering, economics, education, healthcare, medicine, and telecommunication.”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites [16] Batty M, Axhausen KW, Giannotti F, Pozdnoukhov A, Bazzani A, Wachowicz M, Ouzounis G, Portugali Y. Smart cities of the future. Eur Phys J. 2012;214:481–518.

      Not checked in the free run.

    • cites [20] Bibri SE. Smart sustainable cities of the future: the untapped potential of big data analytics and context aware computing for advancing sustainability. Germany, Berlin: Springer; 2018. source

      Not checked in the free run.

  • May combine two claims.

    Findingown data

    Transport apps have the potential to address or respond to the equity and inclusion challenges of social sustainability by employing universal design in general-use apps, including cost-conscious features and providing language options, as well as by specifically developing smartphone apps for persons with disabilities.

    “This study reveals that transport apps have the potential to address or respond to the equity and inclusion challenges of social sustainability by employing universal design in general-use apps, including cost-conscious features and providing language options, as well as by specifically developing smartphone apps for persons with disabilities.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S4 (based).

    Findingnone given

    There are significant scientific and intellectual challenges as well as open issues that need to be addressed and overcome for building smart cities of the future or smarter cities based on big data computing and underpinning technologies, and for accomplishing desired outcomes related to sustainability and urbanisation.

    “there still are significant scientific and intellectual challenges as well as open issues that need to be addressed and overcome for building such cities based on big data computing and underpinning technologies, and then for accomplishing the desired outcomes related to sustainability and urbanisation.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S4 (based).

    Findingnone given

    The literature and research on the uses of big data analytics and its application in relation to sustainable development remains scant in the context of smart and smarter cities.

    “Yet, the literature and thus research on the uses of big data analytics and its application in relation to sustainable development remains scant in the context of smart and smarter cities.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S4 (based). May combine two claims.

    Findingreasoning

    The volume of data generated about cities is growing exponentially and diversifying, providing rich, heterogeneous streams of information about urban environments and citizens.

    “As cities are routinely embedded with all kinds of ICT forms, including infrastructure, platforms, systems, devices, sensors and actuators, and networks, the volume of data generated about them is growing exponentially and diversifying, providing rich, heterogenous streams of information about urban environments and citizens.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingreasoning

    The reviewed literature does not mention the role of big data analytics in the functioning of transport apps or how they relate to it.

    “there is no mention of the role of big data analytics in the functioning of such apps, or how they relate to it at all”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Findingnone given

    There is a growing consensus among urban scholars and applied urban science experts that big data analytics and its application will be a determining or salient factor in the operational functioning, management, planning, design, and development of smart cities of the future or smarter cities.

    “While there is a growing consensus among urban scholars and applied urban science experts that big data analytics and its application will be a determining or salient factor in the operational functioning, management, planning, design, and development of smart cities of the future or smarter cities”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Findingnone given

    In smart and smarter cities, big data analytics and its application are associated with diverse intelligence functions including control, automation, optimisation, management, prediction, and enhancement, which are involved in the operational functioning and planning of urban systems as part of various urban domains.

    “All in all, in smart and smarter cities, big data analytics and its application are associated with such diverse intelligence functions as control, automation, optimisation, management, prediction, and enhancement, which are involved in the operational functioning and planning of urban systems as part of various urban domains.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S4 (based).

    Findingnone given

    Big data technologies and their applications are increasingly permeating the systems and domains of smart and smarter cities due to their potential for enabling their needed transition to sustainable development in an increasingly urbanised world.

    “Big data technologies and their applications are increasingly permeating the systems and domains of smart and smarter cities due to their potential for enabling their needed transition to sustainable development in an increasingly urbanised world.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingreasoning

    Smart and smarter cities in their current state involve several issues, pose special conundrums, and present significant challenges as to their development and implementation with regard to their contribution to sustainability.

    “The review indicates that smart and smarter cities in their current state involve several issues, pose special conundrums, and present significant challenges as to their development and implementation with regard to their contribution to sustainability.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Findingnone given

    Data-driven smart urbanism is an emerging field of research.

    “As an emerging field of research, data-driven smart urbanism”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Findingnone given

    Smart city and big data computing research is still in its infancy.

    “while smart city and big data computing research is still in its infancy”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingreasoning

    Security and privacy concerns are an open issue requiring special attention and careful consideration in the context of smart cities of the future or smarter cities.

    “Another open issue requiring special attention and careful consideration in the context of smart cities of the future or smarter cities is security and privacy concerns.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based). May combine two claims.

    Findingnone given

    Despite the prevalence of the concept and phenomenon of smart city worldwide, there still is obscurity facing its definition; nevertheless, there seems to be an agreement on what the smart or smarter city should achieve as to sustainability and urbanisation, and how advanced ICT should be utilised to mitigate or solve the associated challenges and issues.

    “Worth noting, however, is that despite the prevalence of the concept and phenomenon of smart city worldwide, there still is obscurity facing its definition; nevertheless, there seems to be an agreement on what the smart or smarter city should achieve as to sustainability and urbanisation, and how advanced ICT (particularly big data analytics and its application) should be utilised to mitigate or”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S4 (based).

    Findingnone given

    Smarter cities are still emerging and in the early stage of their development.

    “as smarter cities are still emerging and in the early stage of their development”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S4 (based).

    Findingnone given

    Data-driven smart urbanism is remarkably heterogeneous with a diversity of research problems, integrating various theoretical and disciplinary perspectives.

    “data-driven smart urbanism is remarkably heterogeneous with a diversity of research problems, integrating various theoretical and disciplinary perspectives.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable). May combine two claims.

    Findingreasoning

    Tremendous opportunities are available for utilising big data applications in smart cities of the future or smarter cities to improve their contribution to the goals of sustainable development by optimising and enhancing urban operations, functions, services, designs, strategies, and policies, as well as by finding answers to challenging analytical questions and thereby advancing knowledge forms.

    “The review reveals that tremendous opportunities are available for utilising big data applications in smart cities of the future or smarter cities to improve their contribution to the goals of sustainable development by optimising and enhancing urban operations, functions, services, designs, strategies, and policies, as well as by finding answers to challenging analytical questions and thereby”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable). May combine two claims.

    Interpretationreasoning

    Tremendous opportunities are available for utilising big data analytics and its application in smart cities of the future to improve their contribution to the goals of sustainable development by optimising and enhancing urban operations, functions, services, designs, strategies, and policies, as well as by finding answers to challenging analytical questions and thereby advancing knowledge forms.

    “Nevertheless, as also revealed by this study, tremendous opportunities are available for utilising big data analytics and its application in smart cities of the future to improve their contribution to the goals of sustainable development by optimising and enhancing urban operations, functions, services, designs, strategies, and policies, as well as by finding answers to challenging analytical ques”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S4 (based).

    Interpretationreasoning

    Big data analytics and its application has tremendous potential to enhance urban operations, functions, services, designs, strategies, and policies in the direction of sustainability.

    “One of such forms that has tremendous potential to enhance urban operations, functions, services, designs, strategies, and policies in this direction is big data analytics and its application.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisecitation

    Cities are the world's major consumers of energy resources and significant contributors to GHG emissions.

    “This is anchored in the recognition that cities as the engines of, and the hubs of innovation that drive, economic development are the world's major consumers of energy resources and significant contributors to GHG emissions.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [20] Bibri SE. Smart sustainable cities of the future: the untapped potential of big data analytics and context aware computing for advancing sustainability. Germany, Berlin: Springer; 2018. source

      Not checked in the free run.

    • Rests on an assumption: Cities consume about 67% of the global energy demand and generate up to 70% of the harmful GHG emissions.
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    The UN's 2030 Agenda regards ICT as a means to promote socio-economic development and protect the environment, increase resource efficiency, achieve human progress and knowledge in societies, upgrade legacy infrastructure, and retrofit industries based on sustainable design principles.

    “In this regard, the UN's 2030 Agenda regards ICT as a means to promote socio-economic development and protect the environment, increase resource efficiency, achieve human progress and knowledge in societies, upgrade legacy infrastructure, and retrofit industries based on sustainable design principles [127,129].”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites [127] United Nations. Transforming our world: the 2030 agenda for sustainable development, New York, NY. 2015a. https://sustainabledevelopment.un.org/post2015/transformingourworld .

      Not checked in the free run.

    • cites [129] United Nations. Habitat III Issue Papers, 21—Smart cities (V2.0), New York, NY. 2015c. https://collaboration.worldbank.org/docs/DOC–20778 . Accessed 2 May 2017.

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    Big data are regarded as the most scalable and synergic asset and resource for smart and smarter cities to enhance their performance on many scales, as they have become the fundamental ingredient for the next wave of urban analytics.

    “Big data are regarded as the most scalable and synergic asset and resource for smart and smarter cities to enhance their performance on many scales, as they have become the fundamental ingredient for the next wave of urban analytics [20].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [20] Bibri SE. Smart sustainable cities of the future: the untapped potential of big data analytics and context aware computing for advancing sustainability. Germany, Berlin: Springer; 2018. source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Smart city projects, programs, and initiatives tend to be based on specific objectives, technological capabilities, financial abilities, human and social resources, regulatory policies, institutional frameworks, political mechanisms, governance arrangements, and so on.

    “This implies that smart city projects, programs, and initiatives tend to be based on specific objectives, technological capabilities, financial abilities, human and social resources, regulatory policies, institutional frameworks, political mechanisms, governance arrangements, and so on [20].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [20] Bibri SE. Smart sustainable cities of the future: the untapped potential of big data analytics and context aware computing for advancing sustainability. Germany, Berlin: Springer; 2018. source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Many governments are funnelling huge expenditures into ICT research, development, and innovation, manifested in the high number of jointly funded research endeavours as well as smart initiatives and implementation projects.

    “Concerning the financial abilities, many governments are funnelling huge expenditures (colossal investments) into ICT research, development, and innovation, which is manifested in the high number of jointly funded research endeavours as well as smart initiatives and implementation projects (e.g., [2]).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [2] Ahvenniemi H, Huovila A, Pinto-Seppä I, Airaksinen M. What are the differences between sustainable and smart cities? Cities. 2017;60:234–45. source

      Not checked in the free run.

  • Classified as probably not a substantial claim. May combine two claims.

    Premisecitation

    The smart city and sustainable city landscapes are extremely fragmented both on the policy and the technical levels, and there is a host of unexplored opportunities toward sustainable smart city development.

    “On this note [6], conclude that the smart city and sustainable city landscapes are extremely fragmented both on the policy and the technical levels, and there is a host of unexplored opportunities toward sustainable smart city development.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [6] Angelidou M, Artemis P, Nicos K, Christina K, Tsarchopoulos P, Anastasia P. Enhancing sustainable urban development through smart city applications. J Sci Technol Policy Manag. 2017;9:1–25.

      Not checked in the free run.

  • May combine two claims.

    Premisecitation

    Big data computing as a new paradigm is fundamentally changing the way modern cities can sustainably be operated, managed, planned, and developed, shaping and driving decision-making processes within many urban domains.

    “Indeed, big data computing as a new paradigm is fundamentally changing the way modern cities can sustainably be operated, managed, planned, and developed, shaping and driving decisionmaking processes within many urban domains [20], especially with regard to optimising resource utilisation, mitigating environmental risks, responding to socio-economic needs, and enhancing the quality of life and”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [20] Bibri SE. Smart sustainable cities of the future: the untapped potential of big data analytics and context aware computing for advancing sustainability. Germany, Berlin: Springer; 2018. source

      Not checked in the free run.

  • Classified as probably not a substantial claim.

    Premisecitation

    ICT constitutes an effective approach to decoupling the health of the city and the quality of life of citizens from the energy and material consumption and concomitant environmental risks associated with urban operations, functions, services, designs, and policies.

    “As pointed out by Bibri [20], ICT constitutes an effective approach to decoupling the health of the city and the quality of life of citizens from the energy and material consumption and concomitant environmental risks associated with urban operations, functions, services, designs, and policies.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [20] Bibri SE. Smart sustainable cities of the future: the untapped potential of big data analytics and context aware computing for advancing sustainability. Germany, Berlin: Springer; 2018. source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Batty et al. identify a number of smart city projects, including modelling urban land use; modelling network performance; sensing, networking, and the impact of social media; mobility and travel behaviour; transport and economic interactions; integrated databases across urban domains; participatory governance and planning structures; and decision support as urban intelligence.

    “However, in relation to the objectives, for example, Batty et al. [16] identify a number of smart city projects, including modelling urban land use; modelling network performance; sensing, networking, and the impact of social media; mobility and travel behaviour; transport and economic interactions; integrated databases across urban domains; participatory governance and planning structures; and”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [16] Batty M, Axhausen KW, Giannotti F, Pozdnoukhov A, Bazzani A, Wachowicz M, Ouzounis G, Portugali Y. Smart cities of the future. Eur Phys J. 2012;214:481–518.

      Not checked in the free run.

  • Classified as probably not a substantial claim.

    Study design and conductreasoning

    For an article or document to be considered relevant, it should cover one of the conceptual/theoretical subjects or thematic/topical categories intended to be examined.

    “With that in mind, for an article or document to be considered of relevance for providing information or evidence on the issues in question, it should cover one of the conceptual/theoretical subjects or thematic/topical categories intended to be examined, as demonstrated by the sections and subsections of this paper.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    It is not until recently that the smart growth movement led the smart city concept to be adopted within urban planning and development.

    “Yet, it is not until recently that this movement led this concept to be adopted within urban planning and development [16].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [16] Batty M, Axhausen KW, Giannotti F, Pozdnoukhov A, Bazzani A, Wachowicz M, Ouzounis G, Portugali Y. Smart cities of the future. Eur Phys J. 2012;214:481–518.

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Based on a recent survey of the field of smart cities, there are two main approaches to smart city: technology-oriented and people-oriented.

    “Furthermore, based on a recent survey of the field of smart cities [25], there are two main approaches to smart city: (1) the technology-oriented approach, i.e., infrastructures, architectures, platforms, systems, applications, and models and (2) the people-oriented approach, i.e., stakeholders, citizens, knowledge, services, and related data [20].”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites [25] Bibri SE, Krogstie J. Smart sustainable cities of the future: an extensive interdisciplinary literature review. Sustain Cities Soc. 2017;31:183–212. source

      Not checked in the free run.

    • cites [20] Bibri SE. Smart sustainable cities of the future: the untapped potential of big data analytics and context aware computing for advancing sustainability. Germany, Berlin: Springer; 2018. source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    It is difficult to identify common trends of smart cities at global level.

    “It is difficult to identify common trends of smart cities at global level [102].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [102] Neirotti P, De Marco A, Cagliano AC, Mangano G, Scorrano F. Current trends in smart city initiatives—some stylized facts. Cities. 2014;38:25–36. source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductcitation

    Backward literature search and forward literature search were additionally used to enhance the search approach.

    “To note, due to the potential limitations associated with relying on the keyword approach, backward literature search (backward authors, backward references, and previously used keywords) and forward literature search (forward authors and forward references) were additionally used to enhance the search approach [140].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [140] Webster J, Watson RT. Analyzing the past to prepare for the future: writing a literature review. MIS Quarterly. 2002;26(2):13–23.

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    The literature search used a broad strategy covering several electronic search databases, including Cristin, NTNU Open, Scopus, ScienceDirect, SpringerLink, ACM digital library, Sage Journals, and Google Scholar.

    “A broad search strategy was used, covering several electronic search databases, including Cristin, NTNU Open, Scopus, ScienceDirect, SpringerLink, ACM digital library, and Sage Journals, in addition to Google Scholar.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductnone given

    The hierarchical search approach involved searching databases of reviewed high quality literature, searching evidence based journals for review articles, and routine searches and other search engines.

    “The hierarchical search approach to searching for literature involved the following: • Searching databases of reviewed high quality literature; • Searching evidence based journals for review articles; and, • Routine searches and other search engines.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    Scholars, academics, planners, ICT experts, and policymakers converge on the idea that the use of ICT pertains to all domains of smart cities and consider ICT an inseparable facet of smart cities.

    “Yet, scholars, academics, planners, ICT experts, and policymakers converge on the idea that the use of ICT pertains to all domains of smart cities, and hence on considering it as an inseparable facet thereof [20].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [20] Bibri SE. Smart sustainable cities of the future: the untapped potential of big data analytics and context aware computing for advancing sustainability. Germany, Berlin: Springer; 2018. source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    The roots of the smart city concept date back to the 1970s under what is labeled the 'cybernetically planned cities', and then in urban development and planning proposals associated with networked or wired cities since the 1980s.

    “According to a recent review conducted by Bibri and Krogstie [25], the roots of the smart city concept date back to the 1970s under what is labeled the 'cybernetically planned cities' , and then in urban development and planning proposals associated with networked or wired cities since the 1980s.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [25] Bibri SE, Krogstie J. Smart sustainable cities of the future: an extensive interdisciplinary literature review. Sustain Cities Soc. 2017;31:183–212. source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    The smart city concept's origin can be traced back to the smart growth movement during the 1990s.

    “As echoed by Neirotti et al. [102], the smart city concept's origin can be traced back to the smart growth movement during 1990s.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [102] Neirotti P, De Marco A, Cagliano AC, Mangano G, Scorrano F. Current trends in smart city initiatives—some stylized facts. Cities. 2014;38:25–36. source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Multidisciplinary efforts remain limited in impact on theory building for coping with the changing human condition.

    “However, multidisciplinary efforts remain limited in impact on theory building for coping with the changing human condition [99].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [99] Morinière L. Environmentally influenced urbanization: footprints bound for town? Urban Studies. 2012;49(2):435–50. source

      Not checked in the free run.

  • May combine two claims.

    Premisecitation

    There are smart city strategies that focus on the efficiency and advancement of hard infrastructures (e.g., transport, energy, communication, distribution networks) and those that prioritise soft infrastructures (e.g., social and human capital, participation, equity, safety, cultural heritage).

    “In other words, there are smart city strategies that focus on the efficiency and advancement of hard infrastructures in terms of transport, energy, communication, and distribution networks, and so on (e.g., [45,52,74,79,83,93]) and those that prioritise the soft infrastructures in terms of social and human capital, participation, equity, safety, cultural heritage, and so forth (e.g., [7,17,75,76,8”
    Quote in the paperNot a substantial claim0 of 10 sources checked
    • cites [45] Ersue M, Romascanu D, Schoenwaelder J, Sehgal A. Management of networks with constrained devices: use cases. IETF Internet. 2014. source

      Not checked in the free run.

    • cites [52] Gubbi J, Rajkumar Buyya, Slaven Marusic, Marimuthu Palaniswami. Internet of things (IoT): a vision, architectural elements, and future directions. Future Gener Comput Syst. 2013;29(7):1645–60. source

      Not checked in the free run.

    • cites [74] Khan Z, Anjum A, Kiani SL. Cloud based big data analytics for smart future cities. In: Proceedings of the 2013 IEEE/ACM 6th international conference on utility and cloud computing, IEEE computer society. 2013, p. 381–6. source

      Not checked in the free run.

    • cites [79] Kitchin R. The real-time city? Big data and smart urbanism. Geo J. 2014;79:1–14.

      Not checked in the free run.

    • cites [83] Kumar A, Prakash A. The role of big data and analytics in smart cities. Int J Sci Res. 2014;6(14):12–23.

      Not checked in the free run.

    • cites [93] Marsal-Llacuna ML, Colomer-Llinàs J, Meléndez-Frigola J. Lessons in urban monitoring taken from sustainable and livable cities to better address the smart cities initiative. Technol Forecast Social Change. 2015;90(2):611–22. source

      Not checked in the free run.

    • cites [7] Angelidou M. Smart city policies: a spatial approach. Cities. 2014;41(S1):S3–11. source

      Not checked in the free run.

    • cites [17] Belanche D, Casaló L, Orús C. City attachment and use of urban services: benefits for smart cities. Cities. 2016;50:75–81. source

      Not checked in the free run.

    • cites [75] Khan Z, Kiani SL. A cloud-based architecture for citizen services in smart cities In: IEEE fifth international conference on utility and cloud computing ITAAC workshop. 2012, p. 315–20. (UCC), Chicago, IL, USA. IEEE. source

      Not checked in the free run.

    • cites [76] Khan Z, Kiani SL, Soomro K. A framework for cloud-based context-aware information services for citizens in smart cities. J Cloud Comput Appl Adv Syst Appl. 2014;3(14):1–17.

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).

    Premisecitation

    The main strength of big data technology is the high influence it will have on smart cities of the future or smarter cities and on citizens' lives.

    “Undoubtedly, the main strength of the big data technology is the high influence it will have on smart cities of the future or smarter cities and on citizens' lives (e.g., [5,16,18,20,54,73,79,83,104,124]).”
    Quote in the paperNot a substantial claim0 of 10 sources checked
    • cites [5] Al Nuaimi E, Al Neyadi H, Nader M, Al-Jaroodi J. Applications of big data to smart cities. J Internet Serv Appl. 2015;6(25):1–15.

      Not checked in the free run.

    • cites [16] Batty M, Axhausen KW, Giannotti F, Pozdnoukhov A, Bazzani A, Wachowicz M, Ouzounis G, Portugali Y. Smart cities of the future. Eur Phys J. 2012;214:481–518.

      Not checked in the free run.

    • cites [18] Bettencourt LMA. The uses of big data in cities Santa Fe Institute. New Mexico: Santa Fe; 2014.

      Not checked in the free run.

    • cites [20] Bibri SE. Smart sustainable cities of the future: the untapped potential of big data analytics and context aware computing for advancing sustainability. Germany, Berlin: Springer; 2018. source

      Not checked in the free run.

    • cites [54] Hashem IAT, Chang V, Anuar NB, Adewole K, Yaqoob I, Gani A, Ahmed E, Chiroma H. The role of big data in smart city. Int J Infor Manag. 2016;36:748–58. source

      Not checked in the free run.

    • cites [73] Khan Z, Anjum A, Soomro K, Tahir MA. Towards cloud based big data analytics for smart future cities. J Cloud Comput Adv Syst Appl. 2015;4:2. source

      Not checked in the free run.

    • cites [79] Kitchin R. The real-time city? Big data and smart urbanism. Geo J. 2014;79:1–14.

      Not checked in the free run.

    • cites [83] Kumar A, Prakash A. The role of big data and analytics in smart cities. Int J Sci Res. 2014;6(14):12–23.

      Not checked in the free run.

    • cites [104] Pantelis K, Aija L. Understanding the value of (big) data. In: Big data 2013 IEEE international conference on IEEE. 2013, p. 38–42. source

      Not checked in the free run.

    • cites [124] Townsend A. Smart cities—big data, civic hackers and the quest for a new utopia. New York: Norton & Company; 2013.

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Interdisciplinary and transdisciplinary approaches require conceptual precision in order for research outcomes to be valid and usable.

    “However, they all require conceptual precision in order for research outcomes to be valid and usable (e.g., [89]).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [89] Lytras MD, Aljohani NR, Hussain A, Luo J, Zhang XZ. Cognitive computing track chairs’ welcome & organization. In: Proceedings of the companion of the web conference, Lyon, France. April 2018, p. 23–27. source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    A large number and variety of definitions have been suggested with different foci and orientations.

    “In all, a large number and variety of definitions (e.g., [3,5]) have been suggested with different foci and orientations.”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites [3] Albino V, Berardi U, Dangelico R. Smart cities: definitions, dimensions, performance, and initiatives. J Urban Technol. 2015;22(1):3–21. source

      Not checked in the free run.

    • cites [5] Al Nuaimi E, Al Neyadi H, Nader M, Al-Jaroodi J. Applications of big data to smart cities. J Internet Serv Appl. 2015;6(25):1–15.

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    A great deal of existing definitions tend to converge on three main attributes of big data: huge volume, wide variety, and velocity of collection and analysis.

    “A great deal of the existing definitions tend to converge on three main attributes of big data: the huge volume of data, the wide variety of data types, and the velocity at which the data can be collected and analysed.These are identified as the most agreed upon Vs (e.g., [49,86]).”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites [49] Fan W, Bifet A. Mining big data: current status, and forecast to the future. ACM SIGKDD Explor Newsl. 2013;14(2):1–5. source

      Not checked in the free run.

    • cites [86] Laney D. 3–D data management: controlling data volume, velocity and variety. New York: META group research note; 2001.

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Big data tend to be characterised by a number of other Vs than volume, variety, and velocity, including inveracity, validity, value, and volatility.

    “Yet, big data tend to be characterised by a number of other Vs than these three, including inveracity, validity, value, and volatility (e.g., [72]).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [72] Khan M, Uddin MF, Gupta N. Seven V’s of big data understanding: big data to extract value. In: 2014 zone 1 conference of the IEEE American society for engineering education (ASEE Zone 1). 2014, p. 1–5. source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    The impetus behind the concept of smarter cities or smart cities of the future based on big data analytics and its application is to mobilise and align urban stakeholders through research and development endeavours for the purpose of promoting and advancing sustainability by using advanced ICT to continuously evaluate and strategically plan the contribution of such cities to the goals of可持续

    “the impetus behind the concept of smarter cities or smart cities of the future [16,20] based on big data analytics and its application-is to mobilise and align urban stakeholders through research and development endeavours for the purpose of promoting and advancing”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites [16] Batty M, Axhausen KW, Giannotti F, Pozdnoukhov A, Bazzani A, Wachowicz M, Ouzounis G, Portugali Y. Smart cities of the future. Eur Phys J. 2012;214:481–518.

      Not checked in the free run.

    • cites [20] Bibri SE. Smart sustainable cities of the future: the untapped potential of big data analytics and context aware computing for advancing sustainability. Germany, Berlin: Springer; 2018. source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Interpretationnone given

    The model linked to Caragliu et al.'s definition, based on six smart dimensions (economy, environment, mobility, living, people, governance), neither specifies how these dimensions can be prioritised as to their contribution to sustainability nor how they can, combined, add value to sustainable development.

    “However, this model neither specifies how these dimensions can be prioritised as to the contribution to sustainability, nor how they can, combined, add value to sustainable development.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationcitation

    Big data generated in smart and smarter cities are invariably tagged with spatial and temporal labels, commonly streamed from a large number and variety of sources, and mostly generated automatically and routinely; hence, it is near on impossible to make sense of, or decipher, the big data generated in smart and smarter cities based on computing technology in current use.

    “Such data are invariably tagged with spatial and temporal labels, commonly streamed from a large number and variety of sources, and mostly generated automatically and routinely; hence, it is near on impossible to make sense of, or decipher, the big data generated in smart and smarter cities based on computing technology in current use [20].”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [20] Bibri SE. Smart sustainable cities of the future: the untapped potential of big data analytics and context aware computing for advancing sustainability. Germany, Berlin: Springer; 2018. source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Premisenone given

    As far as the complexity of big data analytics is concerned, it is commonly characterized by four Is: in-situ analytics, interactive analysis, incremental analysis, and iterative analysis.

    “As far as the complexity of big data analytics is concerned, it is commonly characterized by four Is, namely (1) In-situ analytics which directly operates on the data where it sits without requiring an expensive process of Extract, Transform, Load (ETL), (2) interactive analysis where the analysts work interactively with data and the subsequent questions are formulated depending on the results of”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    Digital cities tend to focus on hard infrastructure whereas intelligent cities focus on the way such infrastructure is used, and wired cities embrace ICT as a development strategy, pioneer in embedding digital infrastructure and systems into their urban fabric and utilize them for entrepreneurial and regulatory effect.

    “For example, digital cities tend to focus on the hard infrastructure whereas intelligent cities on the way such infrastructure is used [12][13][14], and wired cities embrace ICT as a development strategy, pioneer in embedding digital infrastructure and systems into their urban fabric and utilize them for entrepreneurial and regulatory effect [43].”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites [12][13][14]

      Not checked in the free run.

    • cites [43] Dutton WH, Blumler JG, Kraemer KL. Wired cities: shaping future communication. New York: Macmillan; 1987.

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  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    The body of literature focusing on the defining role of ICT (e.g., big data analytics) as well as human and social capital in smart cities is particularly relevant in terms of the dimensions of sustainability.

    “It is of particular relevance in this paper to highlight the body of the literature focusing on the defining role of ICT (e.g., big data analytics and its application) as well as human and social capital in smart cities in terms of the dimensions of sustainability (e.g., [5,6,10,16,82,102]).”
    Quote in the paperNot a substantial claim0 of 6 sources checked
    • cites [5] Al Nuaimi E, Al Neyadi H, Nader M, Al-Jaroodi J. Applications of big data to smart cities. J Internet Serv Appl. 2015;6(25):1–15.

      Not checked in the free run.

    • cites [6] Angelidou M, Artemis P, Nicos K, Christina K, Tsarchopoulos P, Anastasia P. Enhancing sustainable urban development through smart city applications. J Sci Technol Policy Manag. 2017;9:1–25.

      Not checked in the free run.

    • cites [10] Anthopoulos L. Understanding smart cities—a tool for smart government or an industrial trick? Public Administration and Information Technology, vol. 22. New York: Springer; 2017. source

      Not checked in the free run.

    • cites [16] Batty M, Axhausen KW, Giannotti F, Pozdnoukhov A, Bazzani A, Wachowicz M, Ouzounis G, Portugali Y. Smart cities of the future. Eur Phys J. 2012;214:481–518.

      Not checked in the free run.

    • cites [82] Kramers A, Höjer M, Lövehagen N, Wangel J. Smart sustainable cities: exploring ICT solutions for reduced energy use in cities. Environ Model Softw. 2014;56:52–62. source

      Not checked in the free run.

    • cites [102] Neirotti P, De Marco A, Cagliano AC, Mangano G, Scorrano F. Current trends in smart city initiatives—some stylized facts. Cities. 2014;38:25–36. source

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  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationreasoning

    The big data deluge flooding within smart and smarter cities entails the use of novel technologies and their integration in terms of algorithms and techniques based on supervised and unsupervised learning methods, techniques, and processing platforms that could work beyond the limits of existing analytic systems.

    “Therefore, the big data deluge flooding within smart and smarter cities entails rather the use of novel technologies and their integration in terms of algorithms and techniques that are based on supervised and unsupervised learning methods (e.g., classification, clustering, regression, causal modelling, etc.), techniques (e.g., data mining, machine learning, statistical analysis, database querying”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Interpretationnone given

    Common to all smart cities of the future or smarter cities as urban development approaches is the idea that ICT is, and will be for many years yet to come, central to urban operations, functions, services, strategies, and policies.

    “In all, common to all smart cities of the future or smarter cities as urban development approaches is the idea that ICT is, and will be for many years yet to come, central to urban operations, functions, services, strategies, and policies.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    This strand of research is concerned with smart cities as urban innovations whose focus is on advancing, harnessing, and integrating physical, human, and social infrastructures for environmental protection, economic regeneration, and enhanced public and social services.

    “This strand of research is concerned with smart cities as urban innovations whose focus is on advancing, harnessing, and integrating physical, human, and social infrastructures for environmental protection, economic regeneration, and enhanced public and social services [20].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [20] Bibri SE. Smart sustainable cities of the future: the untapped potential of big data analytics and context aware computing for advancing sustainability. Germany, Berlin: Springer; 2018. source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Smart cities come in many faces depending on the way ICT is applied, the extensiveness of its use, the degree and form of its ubiquity, the focus of its orientation, and the kind of digital technology by which it is coordinated and integrated.

    “Smart cities come in many faces depending on the way ICT is applied, the extensiveness of its use, the degree and form of its ubiquity, and/or the focus of its orientation, as well as the kind of digital technology by which it is coordinated and integrated [20].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [20] Bibri SE. Smart sustainable cities of the future: the untapped potential of big data analytics and context aware computing for advancing sustainability. Germany, Berlin: Springer; 2018. source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationcitation

    The real-time city is likely to become a reality in many cities over the next decade, as urban administrations seek to capitalise on new data streams and new products are brought to market that help governments and citizens make sense of the city.

    “For example, the real-time city is likely to become a reality in many cities over the next decade, as urban administrations seek to capitalise on new data streams and new products are bought to market that help governments and citizens make sense of the city [79].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [79] Kitchin R. The real-time city? Big data and smart urbanism. Geo J. 2014;79:1–14.

      Not checked in the free run.

  • May combine two claims.

    Premisecitation

    Networked, wired, cyber, digital, virtual, intelligent, knowledge, and cyber cities all share a focus on the effects of ICT on urban forms, processes, and modes of living, and have largely been subsumed within the label 'smart cities' in recent years.

    “However, they all share a focus on the effects of ICT on urban forms, processes, and modes of living, and have largely been subsumed within the label 'smart cities' in recent years, although each of those terms is used in a particular way to conceptualize the relationship between ICT and contemporary urbanism [79].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [79] Kitchin R. The real-time city? Big data and smart urbanism. Geo J. 2014;79:1–14.

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    The common types of big data analytics being used in the context of smart and smarter cities are descriptive, predictive, diagnostic, and prescriptive.

    “The common types of big data analytics being used in the context of smart and smarter cities are: descriptive, predictive, diagnostic, and prescriptive [20].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [20] Bibri SE. Smart sustainable cities of the future: the untapped potential of big data analytics and context aware computing for advancing sustainability. Germany, Berlin: Springer; 2018. source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    These platforms perform big data analytics related to a wide variety of large-scale applications intended for different uses associated with sustainable urban development, such as management, control, optimisation, assessment, and improvement, spanning a variety of urban domains and sub-domains, and thus are prerequisite for data-centric applications in the context of sustainable smart and smarter

    “These platforms 'perform big data analytics related to a wide variety of large-scale applications intended for different uses associated with the process of sustainable urban development, such as management, control, optimisation, assessment, and improvement, thereby spanning a variety of urban domains and sub-domains… Thus, they are prerequisite for data-centric applications in the context of”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [21, p. 203]

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  • Probably not a substantial claim: may not pass S1 (asserted), S3 (load-bearing). May combine two claims.

    Premisecitation

    New technologies have a tendency to polarise and divide at many levels, and new forms of regulation at the level of urban transport and planning, and economic and community development can be improved using future and emerging technologies.

    “As stated by Batty et al. [16], 'New technologies have a tendency to polarise and divide at many levels and we need to explore how new forms of regulation at the level of urban transport and planning, and economic and community development can be improved using future and emerging technologies' .”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Batty et al. [16] Batty M, Axhausen KW, Giannotti F, Pozdnoukhov A, Bazzani A, Wachowicz M, Ouzounis G, Portugali Y. Smart cities of the future. Eur Phys J. 2012;214:481–518.

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationnone given

    In the context of smart and smarter cities, big data analytics targets intelligent decision support and optimisation and simulation associated with the operational functioning, planning, design, and development of urban systems in terms of control, automation, management, efficiency, enhancement, and prediction as urban intelligence functions.

    “In this context, it targets the intelligent decision support and optimisation and simulation associated with the operational functioning, planning, design, and development of urban systems as operating and organizing processes of urban life in terms of control, automation, management, efficiency, enhancement, and prediction as urban intelligence functions.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim. May combine two claims.

    Interpretationnone given

    Socio-economic factors affect the use of smart technologies, and to fully optimise their potential, such factors need to be addressed so that smart and smarter city technologies can play a part in contributing to sustainability.

    “Regardless, socio-economic factors affect the use of smart technologies, and to fully optimise their potential, such factors need to be addressed so that smart and smarter city technologies can play a part in contributing to sustainability.”
    Quote in the paperSubstantial claim
    • Rests on an assumption: Socio-economic factors affect the use of smart technologies.
  • May combine two claims.

    Premisecitation

    Most smart city strategies are poorly adapted to accommodate the local needs of their area, fail to incorporate bottom-up approaches, and fall short in considering issues of privacy and security.

    “Angelidou [9] found that most smart city strategies are poorly adapted to accommodate the local needs of their area, fail to incorporate bottom-up approaches, and fall short in considering issues of privacy and security.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Angelidou [9] Angelidou M. The role of smart city characteristics in the plans of fifteen cities. J Urb Technol. 2017;24(4):3–28. source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.

    Interpretationreasoning

    Cities standing on a smartness scale spectrum can embrace and pursue the goals of sustainable development through related initiatives, programs, and projects, and thereby achieve the required level of sustainability as to operations, functions, services, strategies, designs, and policies within urban domains.

    “In this case, the cities standing on a smartness scale spectrum can well embrace and pursue the goals of sustainable development through related initiatives, programs, and projects, and thereby achieve the required level of sustainability as to operations, functions, services, strategies, designs, and policies within urban domains.”
    Quote in the paperNot a substantial claim
    • Rests on an assumption: ICT is founded on the application of data science and complexity science, which are well positioned to tackle the complex challenges of urbanisation and sustainability.
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    The subject of smart and smarter cities has a theoretical base open to interpretation, evaluation, and examination, and theoretical debate is rife and a key aspect of the discipline of smart urban planning and development.

    “'this subject has a theoretical base that is open to interpretation, evaluation, and examination, or in it, theoretical debate seems to be rife and a key aspect of the discipline of smart urban planning and development.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [25] Bibri SE, Krogstie J. Smart sustainable cities of the future: an extensive interdisciplinary literature review. Sustain Cities Soc. 2017;31:183–212. source

      Not checked in the free run.

  • Classified as probably not a substantial claim. May combine two claims.

    Premisecitation

    The existing definitions of smart and smarter city set up no baseline for sustainability and do not include what sustainable development entails.

    “In this regard, it has been argued that the existing definitions of smart and smarter city set up no baseline for sustainability, and do not include what sustainable development entails”
    • Also stated in: § Research strands of particular relevance to the topic of the study · plain
      “Since its adoption in urban planning and development in 1994 until recent years, the concept of smart city has been criticised for not explicitly incorporating the goals of sustainable development in its definition, as well as for lacking the connection with that of sustainable city (e.g., [2,6,20,25,28,55,56]).”
    Quote in the paperSubstantial claim0 of 7 sources checked
    • cites [2] Ahvenniemi H, Huovila A, Pinto-Seppä I, Airaksinen M. What are the differences between sustainable and smart cities? Cities. 2017;60:234–45. source

      Not checked in the free run.

    • cites [6] Angelidou M, Artemis P, Nicos K, Christina K, Tsarchopoulos P, Anastasia P. Enhancing sustainable urban development through smart city applications. J Sci Technol Policy Manag. 2017;9:1–25.

      Not checked in the free run.

    • cites [20] Bibri SE. Smart sustainable cities of the future: the untapped potential of big data analytics and context aware computing for advancing sustainability. Germany, Berlin: Springer; 2018. source

      Not checked in the free run.

    • cites [25] Bibri SE, Krogstie J. Smart sustainable cities of the future: an extensive interdisciplinary literature review. Sustain Cities Soc. 2017;31:183–212. source

      Not checked in the free run.

    • cites [28] Bifulco F, Tregua M, Amitrano CC, D’Auria A. ICT and sustainability in smart cities management. Int J Pub Sec Manag. 2016;29(2):132–47. source

      Not checked in the free run.

    • cites [55] Höjer M, Wangel S. Smart sustainable cities: definition and challenges. In: Hilty L, Aebischer B, editors. ICT innovations for sustainability. Berlin: Springer; 2015. p. 333–49. source

      Not checked in the free run.

    • cites [56] Hollands RG. Will the real smart city please stand up? City Anal Urban Trends Cult Theory Policy Action. 2008;12(3):303–20.

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    As pointed out by Lytras and Visvizi, research originating in the social sciences tends to reduce the centrality of ICT in smart city research, and hence, the depth and breadth of implications that emerge at the intersection of ICT in urban spaces and innate social problems remain underexplored.

    “Speaking of such issues and concerns, to note, the challenge is that, as pointed out by Lytras and Visvizi [89], research originating in the social sciences tends to reduce the centrality of ICT in smart city research, and hence, the depth and breadth of implications that emerge at the intersection of ICT in urban spaces and innate social problems remain underexplored.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [89] Lytras MD, Aljohani NR, Hussain A, Luo J, Zhang XZ. Cognitive computing track chairs’ welcome & organization. In: Proceedings of the companion of the web conference, Lyon, France. April 2018, p. 23–27. source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationreasoning

    Smart and smarter cities may thrive further or get smarter by leveraging their informational landscape in ways that allow them to improve and maintain their contribution to the goals of sustainable development.

    “Here, the argument is that smart and smarter cities may thrive further or get smarter by leveraging their informational landscape in ways that allow to improve and maintain their contribution to the goals of sustainable development.”
    Quote in the paperNot a substantial claim
    • Rests on an assumption: ICT is founded on the application of data science and complexity science, which are well positioned to tackle the complex challenges of urbanisation and sustainability.
  • Classified as probably not a substantial claim.

    Premisecitation

    The contribution of smart cities to sustainable development remains vague.

    “Furthermore, Bibri [23] notes that the contribution of smart cities to sustainable development remains vague.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Bibri [23] Bibri SE. Big Data science and analytics for smart sustainable urbanism: unprecedented paradigmatic shifts and practical advances. Germany, Berlin: Springer; 2019. source

      Not checked in the free run.

  • Classified as probably not a substantial claim.

    Premisecitation

    The concept of smart city is associated with limitations pertaining to sustainability, i.e., it does not necessarily allow for cities to develop in a sustainable manner.

    “Moreover, in examining the concept of smart city through the lens of strategic sustainable development, Colldahl et al. [37] conclude that this concept is associated with limitations pertaining to sustainability, i.e., 'does not necessarily allow for cities to develop in a sustainable manner' .”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Colldahl et al. [37] Colldahl C, Frey S, Kelemen JE. Smart cities: strategic sustainable development for an urban world. Master thesis, School of Engineering, Blekinge Institute of Technology. 2013.

      Not checked in the free run.

  • May combine two claims.

    Premisecitation

    There are divergences in terms of the current and future use of big data applications, as well as in terms of related innovation.

    “• There are divergences in terms of the current and future use of big data applications, as well as in terms of related innovation.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Bibri [20] Bibri SE. Smart sustainable cities of the future: the untapped potential of big data analytics and context aware computing for advancing sustainability. Germany, Berlin: Springer; 2018. source

      Not checked in the free run.

  • May combine two claims.

    Premisecitation

    While some challenges pertaining to urbanisation are already being addressed through the development of smart technologies, many of the proposed smart solutions are not aligned with sustainability targets, thereby leading to the emergence of sustainable smart cities.

    “In relation to this, while some of the challenges pertaining to urbanisation are already being addressed through the development of smart technologies [29,40,133], many of the proposed smart solutions in this regard are not aligned with sustainability targets, thereby the emergence of sustainable smart cities [2,20].”
    Quote in the paperSubstantial claim0 of 5 sources checked
    • cites [29] Castán JA, Martínez SI, Menchaca JL, Berrones MGT. Improving vehicular mobility in urban traffic using ubiquitous computing. J Comput Commun. 2016;4:57–62. https://doi.org/10.4236/jcc.2016.410006 . source

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    • cites [40] Degbelo A, Granell Granell C, Trilles Oliver S, Bhattacharya D, Casteleyn S, Kray C. Opening up smart cities: citizen-centric challenges and opportunities from GIScience. ISPRS Int J Geo-Inf. 2016;5(2):16. https://doi.org/10.3390/ijgi5020016 . source

      Not checked in the free run.

    • cites [133] Vinod Kumar TM, Dahiya B. Smart economy in smart cities. In: Vinod Kumar TM, editor. Smart economy in smart cities international collaborative research: ottawa, St. Louis, Stuttgart, Bologna, Cape Town, Nairobi, Dakar, Lagos, New Delhi, Varanasi, Vijayawada, Kozhikode, Hong Kong. Singapore: Springer; 2017. source

      Not checked in the free run.

    • cites [2] Ahvenniemi H, Huovila A, Pinto-Seppä I, Airaksinen M. What are the differences between sustainable and smart cities? Cities. 2017;60:234–45. source

      Not checked in the free run.

    • cites [20] Bibri SE. Smart sustainable cities of the future: the untapped potential of big data analytics and context aware computing for advancing sustainability. Germany, Berlin: Springer; 2018. source

      Not checked in the free run.

  • Classified as probably not a substantial claim.

    Premisecitation

    Smart cities continue to strive for smart targets rather than integrating them with sustainability goals.

    “• Smart cities continue to strive for smart targets rather than integrating them with sustainability goals.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Bibri and Krogstie [25] Bibri SE, Krogstie J. Smart sustainable cities of the future: an extensive interdisciplinary literature review. Sustain Cities Soc. 2017;31:183–212. source

      Not checked in the free run.

  • Classified as probably not a substantial claim.

    Premisecitation

    Smart cities focus mostly on ICT advancement and the efficiency of solutions and fall short in considering, if not ignoring, design concepts and principles and planning practices of urban sustainability and their effects and benefits.

    “• Smart cities focus mostly on ICT advancement and the efficiency of solutions and fall short in considering, if not ignoring, design concepts and principles and planning practices of urban sustainability and their effects and benefits.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Bibri and Krogstie [25] Bibri SE, Krogstie J. Smart sustainable cities of the future: an extensive interdisciplinary literature review. Sustain Cities Soc. 2017;31:183–212. source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    ICT poses great risks to and negative implications for environmental and social sustainability.

    “• ICT poses great risks to and negative implications for environmental and social sustainability.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Bibri [20] Bibri SE. Smart sustainable cities of the future: the untapped potential of big data analytics and context aware computing for advancing sustainability. Germany, Berlin: Springer; 2018. source

      Not checked in the free run.

  • May combine two claims.

    Premisecitation

    There are gaps between theory and practice and visions and their realisation with regard to the sustainability dimension.

    “• There are gaps between theory and practice and visions and their realisation with regard to the sustainability dimension.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Bibri [20] Bibri SE. Smart sustainable cities of the future: the untapped potential of big data analytics and context aware computing for advancing sustainability. Germany, Berlin: Springer; 2018. source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Premisenone given

    Smarter cities typically instantiate the dominating ICT visions in Europe, Asia, and the USA, namely Ubiquitous Computing, Ambient Intelligence, and the Internet of Things.

    “Indeed, they typically instantiate the dominating ICT visions in Europe, Asia, and the USA, namely Ubiquitous Computing, Ambient Intelligence, and the Internet of Things.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim.

    Premisecitation

    In smart cities, economic and social aspects tend to dominate over environmental aspects.

    “According to a recent study carried out by Ahvenniemi et al. [2] on the difference between smart cities and sustainable cities, in the former economic and social aspects tend to dominate over environmental aspects.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Ahvenniemi et al. [2] Ahvenniemi H, Huovila A, Pinto-Seppä I, Airaksinen M. What are the differences between sustainable and smart cities? Cities. 2017;60:234–45. source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing). May combine two claims.

    Interpretationreasoning

    There will be multiple ways to achieve such objectives, manage available resources, design and execute policy regulations, and this should have direct implications for the success of smart and smarter cities, including in relation to their sustainability performance and its continuation.

    “Obviously, there will be multiple ways to achieve such objectives, manage available resources, design and execute policy regulations.This should have direct implications for the success of smart and smarter cities, including in relation to their sustainability performance and its continuation.”
    Quote in the paperNot a substantial claim
    • Rests on an assumption: The smart and smarter city endeavour can be driven by a wide range of target objectives as well as available resources, technical capabilities, and policy regulations, and shaped by diverse disruptive technologies and how these are embedded in the socio-cultural context as part of the socio-technical landscape.
    • Rests on an assumption: There will be multiple ways to achieve such objectives, manage available resources, design and execute policy regulations.
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Premisenone given

    The evolvement of the smart urban development approach is increasingly driven by the growing application of, and the rising demand for, big data analytics and its novel applications and services as a set of novel technologies.

    “The evolvement of this smart urban development approach is increasingly driven by the growing application of, and the rising demand for, big data analytics and its novel applications and services as a set of novel technologies.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisecitation

    The existing assessment performance frameworks lack environmental indicators and tend to overemphasise economic aspects.

    “• The existing assessment performance frameworks lack environmental indicators and tend to overemphasise economic aspects.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Bibri [20] Bibri SE. Smart sustainable cities of the future: the untapped potential of big data analytics and context aware computing for advancing sustainability. Germany, Berlin: Springer; 2018. source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationreasoning

    The rapid pace of ICT development and innovation seems to happen ad hoc when new technologies and their applications and services become available, rather than grounded in a focused overall approach or directed to solving the most pressing issues and significant challenges associated with sustainability in an increasingly urbanised world.

    “However, the rapid pace of ICT development and innovation seems to happen ad hoc when new technologies and their applications and services become available-rather than grounded in a focused overall approach or directed to solving the most pressing issues and significant challenges associated with sustainability in an increasingly urbanised world.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable). May combine two claims.

    Premisecitation

    The field is unable to proceed in anything like a cumulative fashion and to contribute systematically and constructively to the development of innovative technologies for sustainability.

    “• The field is unable to proceed in anything like a cumulative fashion and to contribute systematically and constructively to the development of innovative technologies for sustainability.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Bibri [20] Bibri SE. Smart sustainable cities of the future: the untapped potential of big data analytics and context aware computing for advancing sustainability. Germany, Berlin: Springer; 2018. source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing). May combine two claims.

    Interpretationreasoning

    The smart and smarter city endeavour can be driven by a wide range of target objectives as well as available resources, technical capabilities, and policy regulations, and shaped by diverse disruptive technologies and how these are embedded in the socio-cultural context as part of the socio-technical landscape.

    “And in this sense, it is of relevance to look at the smart and smarter city endeavour as an ambition which can be driven by a wide range of target objectives as well as available resources, technical capabilities, and policy regulations, and also shaped by diverse disruptive technologies and how these are embedded in the socio-cultural context as part of the socio-technical landscape.”
    Quote in the paperNot a substantial claim
    • Rests on an assumption: The smart and smarter city endeavour can be driven by a wide range of target objectives as well as available resources, technical capabilities, and policy regulations, and shaped by diverse disruptive technologies and how these are embedded in the socio-cultural context as part of the socio-technical landscape.
  • May combine two claims.

    Premisecitation

    The research field of smart and smarter cities is currently fragmented due to its ill-defined character and scattered research programs, thereby fostering discontinuity, and consequently, smart perspectives remain too diverse to resolve.

    “Moreover, the research field of smart and smarter cities is currently fragmented due to its ill-defined character and scattered research programs, thereby fostering discontinuity, and consequently, smart perspectives remain too diverse to resolve [20].”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [20] Bibri SE. Smart sustainable cities of the future: the untapped potential of big data analytics and context aware computing for advancing sustainability. Germany, Berlin: Springer; 2018. source

      Not checked in the free run.

  • Classified as probably not a substantial claim. May combine two claims.

    Premisecitation

    Existing smart city approaches raise critical issues, pose special conundrums, and involve significant challenges when it comes to their development and implementation as to their contribution to the goals of sustainable development.

    “Overall, as concluded by Bibri and Krgostie [25], the existing smart city approaches raise critical issues, pose special conundrums, and involve significant challenges-when it comes to their development and implementation as to their contribution to the goals of sustainable development.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Bibri and Krgostie [25] Bibri SE, Krogstie J. Smart sustainable cities of the future: an extensive interdisciplinary literature review. Sustain Cities Soc. 2017;31:183–212. source

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  • Probably not a substantial claim: may not pass S2 (checkable).

    Premisecitation

    The existing smart city performance assessment frameworks need to be redeveloped in ways that incorporate the design concepts and principles and planning practices of sustainability as well as environmental indicators.

    “• The existing smart city performance assessment frameworks need to be redeveloped in ways that incorporate the design concepts and principles and planning practices of sustainability as well as environmental indicators.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Bibri and Krogstie [25] Bibri SE, Krogstie J. Smart sustainable cities of the future: an extensive interdisciplinary literature review. Sustain Cities Soc. 2017;31:183–212. source

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  • Probably not a substantial claim: may not pass S2 (checkable).

    Premisecitation

    Smart cities need to leverage their informational landscape together with their physical landscape in line with the vision of sustainability.

    “• Smart cities need to leverage their informational landscape together with their physical landscape in line with the vision of sustainability.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Bibri and Krogstie [25] Bibri SE, Krogstie J. Smart sustainable cities of the future: an extensive interdisciplinary literature review. Sustain Cities Soc. 2017;31:183–212. source

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  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Cities can only be smart if there are intelligence functions that are able to integrate and synthesise the data to some purpose, ways of improving efficiency, sustainability, equity, and the quality of life.

    “In reference to smart cities of the future, Batty et al. [16] point out that cities can only be smart if there are intelligence functions that are able to integrate and synthesise the data to some purpose, ways of improving efficiency, sustainability, equity, and the quality of life.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Batty et al. [16] Batty M, Axhausen KW, Giannotti F, Pozdnoukhov A, Bazzani A, Wachowicz M, Ouzounis G, Portugali Y. Smart cities of the future. Eur Phys J. 2012;214:481–518.

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  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    The concept of smart sustainable/sustainable smart cities has gained momentum as both a holistic approach to urban development as well as an academic and societal pursuit, not least in technologically and ecologically advanced nations.

    “Concurrently, the concept of smart sustainable/sustainable smart cities has gained momentum as both a holistic approach to urban development as well as an academic and societal pursuit, not least in technologically and ecologically advanced nations [24].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [24] Bibri SE, Krogstie J. On the social shaping dimensions of smart sustainable cities: a study in science, technology, and society. Sustain Cities Soc. 2016;29:219–46. source

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  • May combine two claims.

    Premisecitation

    A recent wave of research work has started to focus on various technological propositions about what makes cities smart and smarter as to contributing to, or achieving, the goals of sustainable development, but such propositions are too often investigated without consideration of the rather established strategies for achieving urban sustainability, specifically design concepts and principles and,

    “In relation to the latter point, while a recent wave of research work has started to focus on various technological propositions about what makes cities smart and smarter as to contributing to, or achieving, the goals of sustainable development [25], such propositions are too often investigated without consideration of the rather established strategies for achieving urban sustainability,”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [25] Bibri SE, Krogstie J. Smart sustainable cities of the future: an extensive interdisciplinary literature review. Sustain Cities Soc. 2017;31:183–212. source

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  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    Ahvenniemi et al. [2] contrast 8 smart city and 8 sustainable city assessment frameworks as performance measurement systems with respect to 12 application domains, and observe a much stronger focus on modern ICT in the former in relation to economic and social aspects and a deficiency in environmental indicators.

    “Moreover, Ahvenniemi et al. [2] contrast 8 smart city and 8 sustainable city assessment frameworks as performance measurement systems with respect to 12 application domains as a way to examine how the former compares with the latter regarding both commonalities and differences.They observe a much stronger focus on modern ICT in the former in relation to economic and social aspects and a deficiency”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Ahvenniemi et al. [2] Ahvenniemi H, Huovila A, Pinto-Seppä I, Airaksinen M. What are the differences between sustainable and smart cities? Cities. 2017;60:234–45. source

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  • Classified as probably not a substantial claim.

    Premisecitation

    Sustainability goals and smartness targets are misunderstood as to their interconnection.

    “• Sustainability goals and smartness targets are misunderstood as to their interconnection.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Bibri and Krogstie [25] Bibri SE, Krogstie J. Smart sustainable cities of the future: an extensive interdisciplinary literature review. Sustain Cities Soc. 2017;31:183–212. source

      Not checked in the free run.

  • May combine two claims.

    Premisecitation

    The increasing insertion, functioning, and dissemination of the smart sustainable/sustainable smart urban development discourse is increasingly shaped and influenced by emerging smart technologies and their future generation being under vigorous investigation and scrutiny by ICT industry consortia, collaborative research institutes, policy networks, and Quadruple Helix of University-Industry-

    “The accordingly increasing insertion, functioning, and dissemination of such discourse is increasingly shaped and influenced by the emerging smart technologies and their future generation being under vigorous investigation and scrutiny by ICT industry consortia, collaborative research institutes, policy networks, and Quadruple Helix of University-Industry-Government-Citizen relations in terms of”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [20] Bibri SE. Smart sustainable cities of the future: the untapped potential of big data analytics and context aware computing for advancing sustainability. Germany, Berlin: Springer; 2018. source

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  • Classified as probably not a substantial claim.

    Premisecitation

    The two landscapes of the smart city and sustainable city are extremely fragmented on the technical and policy levels.

    “• The two landscapes of the smart city and sustainable city are extremely fragmented on the technical and policy levels.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Bibri and Krogstie [25] Bibri SE, Krogstie J. Smart sustainable cities of the future: an extensive interdisciplinary literature review. Sustain Cities Soc. 2017;31:183–212. source

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  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    In the early 2010s, Erdmann and Hilty [44] highlighted the crucial role that ICT could play in sustainable urban development by decoupling resource consumption and environmental impact from economic growth, while noting that the topic of ICT for sustainability had not attracted actionable political interest as of yet.

    “In the early 2010s, Erdmann and Hilty [44] highlighted the crucial role that ICT could play in sustainable urban development by decoupling resource consumption and environmental impact from economic growth, while noting that the topic of ICT for sustainability had not attracted actionable political interest as of yet.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Erdmann and Hilty [44] Erdmann L, Hilty LM (2010) Scenario analysis exploring the macroeconomic impacts of information and communication technologies on greenhouse gas emissions. J Ind Ecol 14(5):826. source

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  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).

    Premisecitation

    For many contemporary urban scholars, theorists, and planners, the adoption of the strategies through which sustainable urban forms can be achieved is necessary for achieving the required level of sustainability.

    “Of importance to underscore here is that for many contemporary urban scholars, theorists, and planners, the adoption of the strategies through which sustainable urban forms can be achieved is necessary for achieving the required level of sustainability (e.g., [42, 62-64, 67, 141, 142]).”
    Quote in the paperNot a substantial claim0 of 7 sources checked
    • cites [42] Dumreicher H, Levine RS, Yanarella EJ. The appropriate scale for “low energy”: theory and practice at the Westbahnhof. In: Steemers K, Yannas S, editors. Architecture, city, environment, proceedings of PLEA 2000. London: James & James; 2000. p. 359–63.

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    • cites [62] Jabareen YR. Sustainable urban forms: their typologies, models, and concepts. J Plann Educ Res. 2006;26:38–52. source

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    • cites [63] Joss S. Eco-cities: the mainstreaming of urban sustainability; key characteristics and driving factors. Int J Sustain Dev Plan. 2011;6(3):268–85. source

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    • cites [64] Joss S, Cowley R, Tomozeiu D. Towards the ubiquitous eco-city: an analysis of the internationalisation of eco-city policy and practice. J Urban Res Pract. 2013;76:16–22.

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    • cites [67] Kärrholm M. The scaling of sustainable urban form: some scale—related problems in the context of a Swedish urban landscape. Eur Plan Stud. 2011;19(1):97–112. source

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    • cites [141] Wheeler SM. Constructing sustainable development/safeguarding our common future: rethinking sustainable development. J Am Plan Assoc. 2002;68(1):110–1.

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    • cites [142] Williams K, Burton E, Jenks M, editors. Achieving sustainable urban form. London: E & FN Spon; 2000.

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  • May combine two claims.

    Premisecitation

    Ahvenniemi et al. [2] and Angelidou et al. [6] report the misalignment between the targets of smart urban growth and sustainable urban development, with the former stating that smart city assessment frameworks downplay the importance of environmental sustainability, and the latter highlighting the unexplored role of smart applications in advancing environmental sustainability.

    “Indeed, Ahvenniemi et al. [2] and Angelidou et al. [6] report the misalignment between the targets of smart urban growth and sustainable urban development, with the former stating that smart city assessment frameworks downplay the importance of environmental sustainability, and the latter highlighting the unexplored role of smart applications in advancing environmental sustainability.”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites Ahvenniemi et al. [2] Ahvenniemi H, Huovila A, Pinto-Seppä I, Airaksinen M. What are the differences between sustainable and smart cities? Cities. 2017;60:234–45. source

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    • cites Angelidou et al. [6] Angelidou M, Artemis P, Nicos K, Christina K, Tsarchopoulos P, Anastasia P. Enhancing sustainable urban development through smart city applications. J Sci Technol Policy Manag. 2017;9:1–25.

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  • Classified as probably not a substantial claim.

    Premisecitation

    Smart cities need to improve their sustainability performance with support of advanced technologies.

    “They conclude that smart cities need to improve their sustainability performance with support of advanced technologies.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Ahvenniemi et al. [2] Ahvenniemi H, Huovila A, Pinto-Seppä I, Airaksinen M. What are the differences between sustainable and smart cities? Cities. 2017;60:234–45. source

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  • Classified as probably not a substantial claim.

    Premisecitation

    Smart cities hold great potential for advancing sustainability, as it is a powerful approach to enabling cities to become more sustainable due to the role of ICT in providing advanced solutions for addressing the complex challenges and pressing issues of sustainability, in addition to planning cities in a more innovative and forward-thinking manner.

    “In looking at smart cities through the lens of strategic sustainable development, Colldahl et al. [37] note that smart cities hold great potential for advancing sustainability, as it is a powerful approach to enabling cities to become more sustainable due to the role of ICT in providing advanced solutions for addressing the complex challenges and pressing issues of sustainability, in addition to”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Colldahl et al. [37] Colldahl C, Frey S, Kelemen JE. Smart cities: strategic sustainable development for an urban world. Master thesis, School of Engineering, Blekinge Institute of Technology. 2013.

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  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    The concept of smart sustainable/sustainable smart cities has become important not only in urban planning and policymaking, but also in urban research and practice, generating worldwide attention as a powerful framework for strategic sustainable urban development.

    “That is to say, it has become important not only in urban planning and policymaking, but also in urban research and practice, generating worldwide attention as a powerful framework for strategic sustainable urban development [20].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [20] Bibri SE. Smart sustainable cities of the future: the untapped potential of big data analytics and context aware computing for advancing sustainability. Germany, Berlin: Springer; 2018. source

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  • Probably not a substantial claim: may not pass S1 (asserted), S3 (load-bearing).

    Premisecitation

    There is a host of unexplored opportunities towards new approaches to sustainable smart development as a way to address and overcome the existing fragmentation between smart cities and sustainable cities pertaining especially to the technical level.

    “In line with this, Angelidou et al. [6] conclude that there is a host of unexplored opportunities towards new approaches to sustainable smart development as a way to address and overcome the existing fragmentation between smart cities and sustainable cities pertaining especially to the technical level.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Angelidou et al. [6] Angelidou M, Artemis P, Nicos K, Christina K, Tsarchopoulos P, Anastasia P. Enhancing sustainable urban development through smart city applications. J Sci Technol Policy Manag. 2017;9:1–25.

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  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationcitation

    This pertains mainly to environmental sustainability.

    “This pertains mainly to environmental sustainability.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationcitation

    Smart cities can become sustainable and sustainable cities smart when ICT is primarily utilised for and directed towards enhancing sustainability performance with respect to what each of these two urban development strategies lack in terms of any potential inadequacy as to this performance.

    “Smart cities can become sustainable and sustainable cities smart when ICT is primarily utilised for and directed towards enhancing sustainability performance with respect to what each of these two urban development strategies lack in terms of any potential inadequacy as to this performance (e.g., [5,16,18,20,26,55,82,112]).”
    Quote in the paperNot a substantial claim0 of 8 sources checked
    • cites [5] Al Nuaimi E, Al Neyadi H, Nader M, Al-Jaroodi J. Applications of big data to smart cities. J Internet Serv Appl. 2015;6(25):1–15.

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    • cites [16] Batty M, Axhausen KW, Giannotti F, Pozdnoukhov A, Bazzani A, Wachowicz M, Ouzounis G, Portugali Y. Smart cities of the future. Eur Phys J. 2012;214:481–518.

      Not checked in the free run.

    • cites [18] Bettencourt LMA. The uses of big data in cities Santa Fe Institute. New Mexico: Santa Fe; 2014.

      Not checked in the free run.

    • cites [20] Bibri SE. Smart sustainable cities of the future: the untapped potential of big data analytics and context aware computing for advancing sustainability. Germany, Berlin: Springer; 2018. source

      Not checked in the free run.

    • cites [26] Bibri SE, Krogstie J. ICT of the new wave of computing for sustainable urban forms: their big data and context-aware augmented typologies and design concepts. Sustain Cities Soc. 2017;32:449–74. source

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    • cites [55] Höjer M, Wangel S. Smart sustainable cities: definition and challenges. In: Hilty L, Aebischer B, editors. ICT innovations for sustainability. Berlin: Springer; 2015. p. 333–49. source

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    • cites [82] Kramers A, Höjer M, Lövehagen N, Wangel J. Smart sustainable cities: exploring ICT solutions for reduced energy use in cities. Environ Model Softw. 2014;56:52–62. source

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    • cites [112] Shahrokni H, Årman L, Lazarevic D, Nilsson A, Brandt N. Implementing smart urban metabolism in the Stockholm Royal Seaport: smart city SRS. J Ind Ecol. 2015;19(5):917–29. source

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  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).

    Interpretationcitation

    Smarter cities remain well positioned for providing the kind of computationally augmented urban environments that can provide the favourable conditions and offer the cutting-edge solutions that are conducive to boosting the process of sustainable development.

    “In this regard, smarter cities remain well positioned for providing the kind of computationally augmented urban environments that can provide the favourable conditions and offer the cutting-edge solutions that are conducive to boosting the process of sustainable development [25].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [25] Bibri SE, Krogstie J. Smart sustainable cities of the future: an extensive interdisciplinary literature review. Sustain Cities Soc. 2017;31:183–212. source

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  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Interpretationcitation

    As ICT pervades urban environments, smart cities can become smarter as to improving sustainability and enhancing the quality of life of citizens.

    “Further, it has been suggested that as ICT pervades urban environments, i.e., data sensing, data processing platforms, cloud and fog computing infrastructures, and wireless communication networks become more and more embedded throughout urban systems and domains as well as in citizens' objects, smart cities can become smarter as to improving sustainability and enhancing the quality of life of”
    Quote in the paperNot a substantial claim0 of 5 sources checked
    • cites [16] Batty M, Axhausen KW, Giannotti F, Pozdnoukhov A, Bazzani A, Wachowicz M, Ouzounis G, Portugali Y. Smart cities of the future. Eur Phys J. 2012;214:481–518.

      Not checked in the free run.

    • cites [20] Bibri SE. Smart sustainable cities of the future: the untapped potential of big data analytics and context aware computing for advancing sustainability. Germany, Berlin: Springer; 2018. source

      Not checked in the free run.

    • cites [106] Piro G, Cianci I, Grieco LA, Boggia G, Camarda P. Information centric services in smart cities. J Syst Softw. 2014;88:169–88. source

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    • cites [113] Shepard M, editor. Sentient city: ubiquitous computing, architecture and the future of urban space. Cambridge: MIT Press; 2011.

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    • cites [124] Townsend A. Smart cities—big data, civic hackers and the quest for a new utopia. New York: Norton & Company; 2013.

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  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).

    Interpretationcitation

    Future ICT will pervade urban operations, functions, designs, strategies, services, and policies in the context of smarter cities, thereby being in strong position in instigating major transformations.

    “Especially, future ICT will pervade urban operations, functions, designs, strategies, services, and policies in the context of smarter cities, thereby being in strong position in instigating major transformations.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    The related research and development has been embraced and advocated by the United Nations (UN), the European Union (EU), and the Organisation for Economic Co-operation and Development (OECD).

    “Given the apparent relevance and usefulness of the findings produced in the field of smart cities, the related research and development has been embraced and advocated by the United Nations (UN), the European Union (EU), and the Organisation for Economic Co-operation and Development (OECD) (e.g., [89]).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [89] Lytras MD, Aljohani NR, Hussain A, Luo J, Zhang XZ. Cognitive computing track chairs’ welcome & organization. In: Proceedings of the companion of the web conference, Lyon, France. April 2018, p. 23–27. source

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  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationreasoning

    Smarter cities are extremely well positioned to do a lot more in respect of sustainability.

    “Smarter cities, which are characterised by the infiltration of computer and information intelligence into the operating and organising processes of urban life, are extremely well positioned to do a lot more in respect of sustainability.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    The underlying idea of smart sustainable cities revolves around leveraging the prevalence and advance of ICT of pervasive computing in the transition towards the needed sustainable development in an increasingly urbanised world.

    “The underlying idea revolves around leveraging the prevalence and advance of ICT of pervasive computing in the transition towards the needed sustainable development in an increasingly urbanised world [20].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [20] Bibri SE. Smart sustainable cities of the future: the untapped potential of big data analytics and context aware computing for advancing sustainability. Germany, Berlin: Springer; 2018. source

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  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Smart technologies hold great potential for achieving sustainability in smart cities, particularly in relation to the intersection between energy, transport, and ICT.

    “For example, a common understanding shared by the European Commission and reflected in the Smart Cities and Communities European Innovation Partnership (SCCEIP) is that smart technologies in their various forms hold great potential for achieving sustainability in smart cities, particularly in relation to the intersection between energy, transport, and ICT, where the associated industries have been”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [47] European Commission. Communication from the Commission EUROPE 2020. In: A strategy for smart, sustainable and inclusive growth. Com (2010) 2020, Brussels (3 March), Commission of the European Communities. 2010. https://doi.org/10.1016/j.resconrec.2010.03.010 . source

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  • Probably not a substantial claim: may not pass S4 (based). May combine two claims.

    Interpretationreasoning

    The use of ICT of pervasive computing and related big data analytics is increasingly contributing to the integration of urban systems, assessment of their performance in terms of sustainability, collaboration among urban domains, enhancement of ecosystem and public services, and pinpointing networks to be coupled.

    “The underlying premise is that the use of ICT of pervasive computing and related big data analytics and its application is increasingly contributing to the further integration of urban systems and the effective assessment of their performance in terms of sustainability; facilitating collaboration and coordination among urban domains for energy and environmental efficiency gains; enhancing and”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationcitation

    ICT has been socially and discursively constructed as having an enabling and catalytic role in sustainable development and in envisioning its future form in the context of sustainable smart cities.

    “Ever since, ICT has been socially and discursively constructed as having an enabling and catalytic role in sustainable development and in envisioning its future form in the context of sustainable smart cities [24].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [24] Bibri SE, Krogstie J. On the social shaping dimensions of smart sustainable cities: a study in science, technology, and society. Sustain Cities Soc. 2016;29:219–46. source

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  • Probably not a substantial claim: may not pass S4 (based).

    Premisenone given

    Big data analytics is one of the key prerequisite technologies for realising these visions in terms of novel applications and services in a wide variety of urban domains to improve sustainability.

    “Big data analytics is one of the key prerequisite technologies for realising these visions in terms of the novel applications and services being in use in a wide variety of urban domains, such as transport, mobility, traffic, energy, environment, power grid, building, planning, design, governance, scientific research, innovation, and so on, to improve sustainability.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Interpretationcitation

    The development of sustainable smart cities is increasingly gaining traction and pre-eminence worldwide, surpassing all other urban development approaches, especially in the world's major cities, supported by policymakers, governments, research institutions, universities, and industries.

    “However, the development of sustainable smart cities is increasingly gaining traction and pre-eminence worldwide, surpassing all other urban development approaches, especially in the world's major cities, supported by policymakers, governments, research institutions, universities, and industries.”
    • Also stated in: § Research strands of particular relevance to the topic of the study · plain
      “The research on sustainable smart and smarter cities is garnering increased attention, and its status is consolidating as one of the fanciest and fertile areas of research today.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [89] Lytras MD, Aljohani NR, Hussain A, Luo J, Zhang XZ. Cognitive computing track chairs’ welcome & organization. In: Proceedings of the companion of the web conference, Lyon, France. April 2018, p. 23–27. source

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  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationcitation

    The prospect of smarter cities is becoming the new reality with the massive proliferation of the core enabling technologies underlying ICT of pervasive computing.

    “For what this vision entails, the prospect of smarter cities is becoming the new reality with the massive proliferation of the core enabling technologies underlying ICT of pervasive computing [113].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [113] Shepard M, editor. Sentient city: ubiquitous computing, architecture and the future of urban space. Cambridge: MIT Press; 2011.

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  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationcitation

    The trend of integrating smart and sustainable urban development paradigms in policies and practices will continue to rise at least up to 2050.

    “The most widely cited report of the World Urbanisation Prospects series of the United Nations [126] clearly states that this trend of integrating both urban development paradigms in terms of polices and practices will continue to rise at least up to 2050, highlighting the growing role of ICT in mitigating the rising challenges of sustainability.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [126] United Nations. World Urbanization Prospects: The 2014 Revision, Highlights (ST/ESA/SER.A/352). New York, United States of America. 2014. https://doi.org/10.4054/DemRes.2005.12.9 . source

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  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationcitation

    The new paradigmatic shift in computing has made the vision of building and living in sustainable smart cities an achievable and attainable reality.

    “This new paradigmatic shift in computing as heralding a drastic change in ICT in its various forms and thereby giving rise to innovative solutions and sophisticated approaches increasingly pervading urban domains and environments has made the vision of building and living in sustainable smart cities an achievable and attainable reality [24].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [24] Bibri SE, Krogstie J. On the social shaping dimensions of smart sustainable cities: a study in science, technology, and society. Sustain Cities Soc. 2016;29:219–46. source

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  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationcitation

    By means of ICT innovations, cities can evolve in ways that address environmental concerns and respond to socio-economic needs more strategically.

    “By means of ICT innovations and thus advanced smart solutions, cities can well evolve in ways that can address environmental concerns and respond to socio-economic needs in a more strategic manner, as they are the incubators, generators, and transmitters of creative and innovative ideas [25].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [25] Bibri SE, Krogstie J. Smart sustainable cities of the future: an extensive interdisciplinary literature review. Sustain Cities Soc. 2017;31:183–212. source

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  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Global data produced per year is projected to grow by about 45%.

    “Manyika et al. [91] projects a growth of about 45% in the global data produced per year.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [91] Manyika J, Chiu M, Brown B, Bughin J, Dobbs R, Roxburgh C, et al. Big data: the next frontier for innovation, competition, and productivity. New York: McKinsey Global Institute; 2011.

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  • May combine two claims.

    Premisecitation

    Smart and smarter cities have been subject to much debate and growing criticism questioning their added value to sustainability due to lack of incorporating fundamental goals of sustainable development and falling short in considering environmental and social indicators.

    “As discussed above, such cities have, irrespective of which ICT visions they tend to instantiate in relation to their operational functioning, management, planning, and development, been subject to much debate, generating a growing level of criticism that essentially questions their added value to sustainability due to the lack of incorporating the fundamental goals of sustainable development, as”
    Quote in the paperSubstantial claim0 of 6 sources checked
    • cites [2] Ahvenniemi H, Huovila A, Pinto-Seppä I, Airaksinen M. What are the differences between sustainable and smart cities? Cities. 2017;60:234–45. source

      Not checked in the free run.

    • cites [20] Bibri SE. Smart sustainable cities of the future: the untapped potential of big data analytics and context aware computing for advancing sustainability. Germany, Berlin: Springer; 2018. source

      Not checked in the free run.

    • cites [25] Bibri SE, Krogstie J. Smart sustainable cities of the future: an extensive interdisciplinary literature review. Sustain Cities Soc. 2017;31:183–212. source

      Not checked in the free run.

    • cites [55] Höjer M, Wangel S. Smart sustainable cities: definition and challenges. In: Hilty L, Aebischer B, editors. ICT innovations for sustainability. Berlin: Springer; 2015. p. 333–49. source

      Not checked in the free run.

    • cites [82] Kramers A, Höjer M, Lövehagen N, Wangel J. Smart sustainable cities: exploring ICT solutions for reduced energy use in cities. Environ Model Softw. 2014;56:52–62. source

      Not checked in the free run.

    • cites [92] Marsal-Llacuna M-L. City indicators on social sustainability as standardization technologies for smarter (citizen-centered) governance of cities. Soc Indic Res. 2016;128(3):1193–216. https://doi.org/10.1007/s11205-015-1075-6 . source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Premisenone given

    Big data analytics is considered as a prerequisite technology for realising the novel applications and services offered and promised by the ICT visions of pervasive computing.

    “Big data analytics is considered as a prerequisite technology for realising the novel applications and services offered and promised by the ICT visions of pervasive computing, which is a determinant enabler and powerful driver for such cities.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisecitation

    The deluge of urban data is unfolding and soaring, amounting to hundreds of exabytes every year, and will continue to do so.

    “The deluge of urban data is, and will continue to be, unfolding and soaring, amounting to hundreds of exabytes every year, if not more than that, and covering so many aspects of urbanity in its complexity, breath, depth, and heterogeneity”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites [90] Malik P. Big data: principles and practices. IBM J Res Dev. 2013;57:4. source

      Not checked in the free run.

    • cites [146] Zikopoulos PC, Eaton C, deRoos D, Deutsch T, Lapis G. Understanding big data. New York: McGraw Hill; 2012.

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).

    Interpretationcitation

    Failing to exploit the disruptive and substantive effects of ICT of pervasive computing on sustainability in an increasingly computerised and urbanised world means that the battle for sustainability will be lost in the world's major cities.

    “However, failing to exploit the disruptive and substantive effects of ICT of pervasive computing on sustainability in an increasingly computerised and urbanised world means that the battle for sustainability will be lost in the world's major cities [20].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [20] Bibri SE. Smart sustainable cities of the future: the untapped potential of big data analytics and context aware computing for advancing sustainability. Germany, Berlin: Springer; 2018. source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S4 (based).

    Interpretationnone given

    There are significant challenges to address and overcome prior to achieving a more effective utilisation of big data analytics and related applications in smart and smarter cities, including technological, computational, organisational, social, cultural, and political challenges.

    “However there are significant challenges to address and overcome prior to achieving a more effective utilisation of big data analytics and related applications in the realm of smart and smarter cities, including technological, computational, organisational, social, cultural, and political.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S4 (based).

    Interpretationnone given

    Data sensing and processing, cloud and fog computing, and wireless networking technologies associated with big data analytics are being fast embedded into the fabric of cities to pave the way for utilising innovative solutions to overcome challenges of sustainability and urbanisation.

    “Data sensing and processing, cloud and fog computing, and wireless networking technologies associated with big data analytics are being fast embedded into the very fabric of cities badging or regenerating themselves as smart and smarter to pave the way for utilising and applying the upcoming innovative solutions to overcome the challenges of sustainability and urbanisation in the years ahead.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.

    Interpretationnone given

    The increasing convergence and advance of ICT is giving rise to new computationally augmented urban spaces that are changing living and working modes and enabling sophisticated operating and organising processes of urban life.

    “Also, the increasing convergence and advance of ICT is giving rise to new computationally augmented urban spaces that are both drastically changing living and working modes as well as enabling sophisticated operating and organising processes of urban life, which are quite different from what has been experienced hitherto on many scales.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S4 (based).

    Premisereasoning

    Virtually every aspect of urbanity has become open to, and instrumented for, data collection, processing, and analysis.

    “Basically, virtually every aspect of urbanity has become open to, and instrumented for, data collection, processing, and analysis.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationcitation

    The evolving data deluge resulting from the increasing availability of data generated in continuous streams on a daily basis is pushing research on and the use of big data analytics to expand remarkably and its technologies to proliferate in urban domains on a massive scale.

    “The evolving data deluge resulting from the increasing availability of the data being generated in continuous streams on daily basis (e.g., [15,23,79]) is pushing research on and the use of big data analytics to expand remarkably and its technologies to proliferate in urban domains on a massive scale.”
    Quote in the paperNot a substantial claim0 of 3 sources checked
    • cites [15] Batty M. Big data, smart cities and city planning. Dialogues Hum Geog. 2013;3(3):274–9. source

      Not checked in the free run.

    • cites [23] Bibri SE. Big Data science and analytics for smart sustainable urbanism: unprecedented paradigmatic shifts and practical advances. Germany, Berlin: Springer; 2019. source

      Not checked in the free run.

    • cites [79] Kitchin R. The real-time city? Big data and smart urbanism. Geo J. 2014;79:1–14.

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Interpretationreasoning

    With sensors, cities can have a more detailed understanding of environmental sustainability problems and can enact new policy regulations based on realtime data.

    “With these sensors, cities can have, for example, a more detailed understanding of the various problems of environmental sustainability and can enact new policy regulations based on realtime data.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationreasoning

    The datafication of spatiotemporal citywide events has become a salient factor for the practice of smart sustainable urbanism.

    “The datafication of spatiotemporal citywide events has become a salient factor for the practice of smart sustainable urbanism.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Digital data are projected to grow from 2.7 Zettabytes to 35 Zettabytes by the year 2020.

    “Generally, the digital data are projected to grow from 2.7 Zettabytes to 35 Zettabytes by the year 2020 [90,146].”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites [90] Malik P. Big data: principles and practices. IBM J Res Dev. 2013;57:4. source

      Not checked in the free run.

    • cites [146] Zikopoulos PC, Eaton C, deRoos D, Deutsch T, Lapis G. Understanding big data. New York: McGraw Hill; 2012.

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.

    Interpretationreasoning

    Smarter cities will open new windows of opportunity for drastic sustainable change, especially they are still at the early stage of their development, and thus could, if planned strategically and implemented purposefully, do a lot more to advance sustainability and enhance the quality of life of citizens.

    “All in all, smarter cities will open new windows of opportunity for drastic sustainable change, especially they are still at the early stage of their development, and thus could, if planned strategically and implemented purposefully, do a lot more to advance sustainability and enhance the quality of life of citizens, including the mitigation of environmental risks and digital divides posed by ICT”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim.

    Interpretationreasoning

    The sustainability of smart and smarter cities as well as the smartness of sustainable cities are being digitally fuelled and driven by the enormous data collected for analysis and deployment for enhanced decision-making purposes.

    “The sustainability of smart and smarter cities as well as the smartness of sustainable cities are being digitally fuelled and driven by the enormous data collected for analysis and deployment for enhanced decision-making purposes.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Premisereasoning

    Tackling sustainability issues is one of the key concerns of the datafication of the city.

    “Tackling sustainability issues is one of the key concerns of the datafication of the city.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based). May combine two claims.

    Premisenone given

    Cities are becoming more complex as systems and dynamically changing environments, with their domains getting more coordinated, systems integrated, and networks coupled.

    “This is in response to the event of cities becoming more and more complex as systems and dynamically changing environments together with their domains getting more and more coordinated, their systems integrated, and their networks coupled.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Interpretationnone given

    The explosive data growth is due to core enabling and driving technologies of ICT of pervasive computing and their growing embeddedness into modern and future cities.

    “This explosive data growth is due to a number of the core enabling and driving technologies of ICT of various forms of pervasive computing, and their ever-growing embeddedness into the very fabric of modern and future cities.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationcitation

    The exponentially growing amount of data being constantly produced across many urban domains is of such high value that it has become of astuteness and strategic value for urban planners, strategists, and policymakers in collaboration with ICT experts and data analysts to exploit, harness, and analyze these data for increasing the contribution of smart and smarter cities to sustainable development

    “The exponentially growing amount of the data being constantly pro-duced across many urban domains, whether separated or coordinated, is at such a high value that it has become of astuteness and strategic value for urban planners, strategists, and policymakers in collaboration with ICT experts and data analysts to exploit, harness, and analyze these data for the purpose of increasing the”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [20] Bibri SE. Smart sustainable cities of the future: the untapped potential of big data analytics and context aware computing for advancing sustainability. Germany, Berlin: Springer; 2018. source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    More data are produced every 2 days at present than in all of history prior to 2003.

    “It is estimated that more data are produced every 2 days at present than in all of history prior to 2003 [79,117].”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites [79] Kitchin R. The real-time city? Big data and smart urbanism. Geo J. 2014;79:1–14.

      Not checked in the free run.

    • cites [117] Smolan R, Erwitt J. The human face of big data. New York: Sterling; 2012.

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Interpretationnone given

    The expansion and success of the big data computing trend is increasingly stimulating smart and smarter city initiatives and projects as well as research opportunities, especially in technologically and/or ecologically advanced nations.

    “The expansion and success of big data computing trend is increasingly stimulating smart and smarter city initiatives and projects as well as research opportunities to an increasing extent, especially in technologically and/or ecologically advanced nations.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S4 (based).

    Premisereasoning

    Datafication entails that in a modern data-oriented urban landscape, a city's performance is contingent on having control over the storage, management, and analysis of the data as well as on the extracted knowledge in the form of applied intelligence.

    “Datafication entails that in a modern data-oriented urban landscape, a city's performance is contingent on having control over the storage, management, and analysis of the data as well as on the extracted knowledge in the form of applied intelligence.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationreasoning

    Big data applications are well positioned to enhance the sustainability, efficiency, and resiliency performance of smart and smarter cities, as well as the life quality, well-being, and equity of their citizens.

    “Hence, big data applications are well positioned to enhance the sustainability, efficiency, and resiliency performance of such cities, as well as the life quality, well-being, and equity of their citizens.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    The review of transport apps is based on a review of 60 apps.

    “language barriers and based on a review of 60 apps.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    Big data are about the way they are exploited and their analytics is applied, as well as how new innovations are facilitated and diffused throughout the domains of smart and smarter cities through data themselves, especially in the context of sustainability and in connection with urbanisation.

    “Important to note, though, big data are about the way they are exploited and their analytics is applied, as well as how new innovations are facilitated and diffused throughout the domains of smart and smarter cities through data themselves, especially in the context of sustainability and in connection with urbanisation [20].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [20] Bibri SE. Smart sustainable cities of the future: the untapped potential of big data analytics and context aware computing for advancing sustainability. Germany, Berlin: Springer; 2018. source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisenone given

    Big data analytics techniques include data mining, machine learning, statistical analysis, and database querying, and their application involves significant challenges due to the interdisciplinary and transdisciplinary character of urban data.

    “Big data analytics techniques include, but are not limited to, data mining, machine learning, statistical analysis, and database querying, and whose application involves significant challenges due to the interdisciplinary and transdisciplinary character of urban data.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    Offline big data applications have periodic input, sporadic analysis, and delayed responses.

    “As to the latter, the input tends to be periodic and thus analysis occurs sporadically.System behaviour or application action comes in the form of delayed responses.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Bibri [20, p. 491]

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S4 (based).

    Interpretationreasoning

    No full solutions and robust approaches based on big data analytics can be offered in the context of smart and smarter cities.

    “Regardless, no full solutions and robust approaches based on big data analytics can be offered in the context of such cities”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Big data applications can be categorised into two classes in the realm of smart and smarter cities: real-time applications and offline applications.

    “Furthermore, big data applications can be categorised into two classes in the realm of smart and smarter cities: real-time applications and offline applications.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Bibri [20] Bibri SE. Smart sustainable cities of the future: the untapped potential of big data analytics and context aware computing for advancing sustainability. Germany, Berlin: Springer; 2018. source

      Not checked in the free run.

  • May combine two claims.

    Interpretationreasoning

    Transport apps are not a panacea for the equity and inclusion issues related to urban transport but only one of the tools that can be used to address them.

    “However, while this is not to imply that such apps are a panacea for the equity and inclusion issues related to urban transport-but only one of the tools that can be used to address them”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S4 (based).

    Interpretationnone given

    Sustainable smart urbanism is increasingly becoming data driven.

    “In a nutshell, a new era is presently unfolding wherein sustainable smart urbanism is increasingly becoming data driven.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    Real-time big data applications have instantaneous or near real-time input, fast analysis, and system behaviour or application action based on real-time mining for decision-making, since all real-time applications require immediate responses.

    “the input is instantaneous or near real-time, analysis is fast, and system behaviour or application action is based on real-time mining… for decision-making since all real-time applications require immediate responses.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Bibri [20, p. 491]

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).

    Interpretationreasoning

    There is and will be a growing need or increased demand for well qualified professionals and experts to design, develop, deploy, implement, operate, and maintain smart cities of the future or smarter cities with regard to their infrastructures, platforms, and applications.

    “However, as regards he key open issues, there is, and will be, a growing need or increased demand for well qualified professionals and experts to design, develop, deploy, implement, operate, and maintain smart cities of the future or smarter cities with regard to their infrastructures, platforms, and applications.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    Traffic control requires immediate responses to manage traffic in real-time, while environmental monitoring and management is associated with more delayed responses, as decisions are generally made over medium or long-term periods.

    “For example, traffic control requires immediate responses to mange traffic in real-time; while environmental monitoring and management is associated with more delayed responses, as decisions are generally made over medium or long-term period”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Bibri [20, p. 491]

      Not checked in the free run.

  • May combine two claims.

    Interpretationcitation

    The data deluge enables real-time analysis of different urban systems and interconnects data across different urban domains to provide detailed views of relationships between different forms of data that can be utilized for advancing urbanity, and provides the raw material for envisioning more sustainable, efficient, resilient, and livable cities.

    “This data deluge enables the realtime analysis of different urban systems and interconnects data across different urban domains to provide detailed views of the relationships between different forms of data that can be utilized for advancing the various aspects of urbanity through new modes of operational functioning, planning, design, development, and governance in the context of sustainability,”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [23] Bibri SE. Big Data science and analytics for smart sustainable urbanism: unprecedented paradigmatic shifts and practical advances. Germany, Berlin: Springer; 2019. source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    Big data generated in smart and smarter cities consists of exabytes or terabytes of data, is structured and unstructured in nature, is often tagged with spatial and temporal labels, and is commonly streamed from a large number and variety of sources.

    “Consisting of exabytes or terabytes of data; • Being structured and unstructured in nature; • Being often tagged with spatial and temporal labels; being commonly streamed from a large number and variety of sources;”
    Quote in the paperNot a substantial claim0 of 8 sources checked
    • cites [16] Batty M, Axhausen KW, Giannotti F, Pozdnoukhov A, Bazzani A, Wachowicz M, Ouzounis G, Portugali Y. Smart cities of the future. Eur Phys J. 2012;214:481–518.

      Not checked in the free run.

    • cites [20] Bibri SE. Smart sustainable cities of the future: the untapped potential of big data analytics and context aware computing for advancing sustainability. Germany, Berlin: Springer; 2018. source

      Not checked in the free run.

    • cites [23] Bibri SE. Big Data science and analytics for smart sustainable urbanism: unprecedented paradigmatic shifts and practical advances. Germany, Berlin: Springer; 2019. source

      Not checked in the free run.

    • cites [79] Kitchin R. The real-time city? Big data and smart urbanism. Geo J. 2014;79:1–14.

      Not checked in the free run.

    • cites [86] Laney D. 3–D data management: controlling data volume, velocity and variety. New York: META group research note; 2001.

      Not checked in the free run.

    • cites [95] Marz N, Warren J. Big data: Principles and best practices of scalable realtime data systems. Manning: MEAP edition; 2012.

      Not checked in the free run.

    • cites [96] Mayer-Schonberger V, Cukier K. Big data: A revolution that will change how we live, work and think. London: John Murray; 2013.

      Not checked in the free run.

    • cites [146] Zikopoulos PC, Eaton C, deRoos D, Deutsch T, Lapis G. Understanding big data. New York: McGraw Hill; 2012.

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.

    Interpretationreasoning

    The data-driven approach to urbanism has become the mode of production for sustainable smart cities, which are accordingly becoming knowable, tractable, and controllable in new dynamic ways, responsive to the data generated about them.

    “In other words, the data-driven approach to urbanism has become the mode of production for sustainable smart cities, which are accordingly becoming knowable, tractable, and controllable in new dynamic ways, responsive to the data generated about them”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S4 (based).

    Interpretationnone given

    The rising demand for big data analytics and its core enabling technologies, coupled with growing awareness of the associated potential to transform urban systems, comes with major challenges and open issues related to the design, engineering, development, implementation, and maintenance of data-centric applications in sustainable smart cities of the future or smarter cities.

    “The rising demand for big data analytics and its core enabling technologies, coupled with the growing awareness of the associated potential to transform the way urban systems can be operated, managed, planned, and designed in the context of sustainability, comes with major challenges and open issues related to the design, engineering, development, implementation, and maintenance of data-centric”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing). May combine two claims.

    Premisecitation

    Smart cities of the future or smarter cities offer the potential of environmental and socio-economic development-more sustainable, livable, functional, safe, equitable, and transparent cities, and the renewal of urban centres as hubs of innovation and research.

    “For supra-national states, national governments, and city officials, smart cities of the future or smarter cities offer the enticing potential of environmental and socio-economic development-more sustainable, livable, functional, safe, equitable, and transparent cities, and the renewal of urban centres as hubs of innovation and research (e.g., [5,16,20,23,84]).”
    Quote in the paperNot a substantial claim0 of 5 sources checked
    • cites [5] Al Nuaimi E, Al Neyadi H, Nader M, Al-Jaroodi J. Applications of big data to smart cities. J Internet Serv Appl. 2015;6(25):1–15.

      Not checked in the free run.

    • cites [16] Batty M, Axhausen KW, Giannotti F, Pozdnoukhov A, Bazzani A, Wachowicz M, Ouzounis G, Portugali Y. Smart cities of the future. Eur Phys J. 2012;214:481–518.

      Not checked in the free run.

    • cites [20] Bibri SE. Smart sustainable cities of the future: the untapped potential of big data analytics and context aware computing for advancing sustainability. Germany, Berlin: Springer; 2018. source

      Not checked in the free run.

    • cites [23] Bibri SE. Big Data science and analytics for smart sustainable urbanism: unprecedented paradigmatic shifts and practical advances. Germany, Berlin: Springer; 2019. source

      Not checked in the free run.

    • cites [84] Kyriazis D, Varvarigou T, Rossi A, White D, Cooper J. Sustainable smart city IoT applications: heat and electricity management and eco-conscious cruise control for public transportation. In: Proceedings of the 2013 IEEE 14th international symposium and workshops on a world of wireless, mobile and multimedia networks (WoWMoM), Madrid, Spain. 2014, p. 1–5 Lane ND. source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationreasoning

    Open issues for effectively and successfully using big data analytics for smart and smarter city applications mostly stem from the different challenges mentioned above.

    “Furthermore, to effectively and successfully use big data analytics for smart and smarter city applications, there are some open issues that need to be addressed and resolved, which mostly stem from the different challenges mentioned above.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S4 (based).

    Interpretationreasoning

    Smarter cities could, if planned strategically and linked to the agenda of sustainable development as part of related research, do a lot more for sustainability before they become widely adopted.

    “as smarter cities are still emerging and in the early stage of their development, could, if planned strategically and linked to the agenda of sustainable development as part of related research, do a lot more for sustainability before they become widely adopted.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim.

    Interpretationreasoning

    These challenges are likely to hinder the development and implementation of big data applications in smart cities of the future or smarter cities.

    “These are likely to hinder the development and implementation of big data applications in such cities.”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim.

    Interpretationreasoning

    Significant challenges and open issues are ahead to address and overcome in relation to big data analytics to achieve a successful implementation of related novel applications in the context of smart cities of the future or smarter cities.

    “Just as there are many new opportunities and benefits ahead to embrace and exploit, there are significant challenges and open issues ahead to address and overcome in relation to big data analytics to achieve a successful implementation of related novel applications in the context of smart cities of the future or smarter cities.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    Privacy is considered a basic human right in many democratic states, enshrined in national and supra-national laws in various ways, and related debates concern acceptable practices as to accessing and disclosing personal and sensitive information about a person.

    “In fact, privacy is considered a basic human right in many democratic states, enshrined in national and supra-national laws in various ways, and related debates concern acceptable practices as to accessing and disclosing personal and sensitive information about a person [81].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [81] Kitchin R. The ethics of smart cities and urban science. Philos Trans R Soc A. 2016;374:20160115. source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).

    Interpretationnone given

    The solutions to the involved challenges and issues can make smart city and big data computing a very practical field.

    “the solutions to the involved challenges and issues can make it a very practical field.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisecitation

    The 'gifting' remains compulsory with no alternatives and is also done without consent, and the benefits of 'sharing' data are most often stacked in favour of those capturing the data.

    “However, the 'gifting' remains compulsory with no alternatives and is also done without consent, and the benefits of 'sharing' data are most often stacked in favour of those capturing the data [81].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [81] Kitchin R. The ethics of smart cities and urban science. Philos Trans R Soc A. 2016;374:20160115. source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Attempts at dwelling at this intersection regarding technological advancements exist in the body of research on smart cities.

    “Indeed, attempts at dwelling at this intersection regarding technological advancements exist in the body of research on smart cities (e.g., [57,89,131,136]).”
    Quote in the paperNot a substantial claim0 of 4 sources checked
    • cites [57] Ishida T, Isbister K. Digital cities: technologies, experiences, and future perspectives. Berlin: Springer; 2002.

      Not checked in the free run.

    • cites [89] Lytras MD, Aljohani NR, Hussain A, Luo J, Zhang XZ. Cognitive computing track chairs’ welcome & organization. In: Proceedings of the companion of the web conference, Lyon, France. April 2018, p. 23–27. source

      Not checked in the free run.

    • cites [131] Van de Voorde T, Jacquet W, Canters F. Mapping form and function in urban areas: an approach based on urban metrics and continuous impervious surface data. Landsc Urban Plan. 2011;102:143–55. source

      Not checked in the free run.

    • cites [136] Visvizi A, Mazzucelli C, Lytras M. Irregular migratory flows: towards an ICT’ enabled integrated framework for resilient urban systems. J Sci Technol Policy Manag. 2017;8:227–42. source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S2 (checkable), S4 (based).

    Interpretationreasoning

    With all the success factors in place, coupled with a deep understanding of the emerging phenomenon of smart cities and an acknowledgement of the potential of big data computing, making such cities smarter in achieving sustainability becomes an attainable goal in an increasingly urbanised world.

    “Nevertheless, with all the success factors in place, coupled with a deep understanding of the emerging phenomenon of smart cities and an acknowledgement of the potential of big data computing, making such cities smarter in achieving sustainability becomes an attainable goal in an increasingly urbanised world.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).

    Interpretationnone given

    Sustainable smart cities as a leading paradigm of urbanism tends to take multiple forms of combining the strengths of smart cities and sustainable cities based on how the concept of sustainable smart cities can be conceptualized and operationalized.

    “Indeed, sustainable smart cities as a leading paradigm of urbanism tends to take multiple forms of combining the strengths of smart cities and sustainable cities based on how the concept of sustainable smart cities can be conceptualized and operationalized.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisecitation

    These forms of privacy can be threatened and breached through a number of what are normally understood as unacceptable practices, each of which produces a different form of harm.

    “These forms of privacy can be threatened and breached through a number of what are normally understood as unacceptable practices, each of which produces a different form of harm, as compiled by Kitchin [81] (Table 3) and detailed by Solove [118].”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites Kitchin [81] Kitchin R. The ethics of smart cities and urban science. Philos Trans R Soc A. 2016;374:20160115. source

      Not checked in the free run.

    • cites Solove [118] Solove DJ. A taxonomy of privacy. Univ Penn Law Rev. 2006;154:477–560. source

      Not checked in the free run.

  • Classified as probably not a substantial claim.

    Interpretationreasoning

    Deploying big data applications in smart cities of the future or smarter cities requires overcoming organisational, institutional, political, social, ethical, and regulatory challenges.

    “While most of these challenges and open issues are currently under investigation and scrutiny by the relevant research and industry communities, supported by technology and innovation policies, deploying big data applications in smart cities of the future or smarter cities requires overcoming other organisational, institutional, political, social, ethical, and regulatory challenges.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S2 (checkable). May combine two claims.

    Interpretationreasoning

    The use of big data analytics is projected to play a significant role in realising the key characteristic features of such cities in terms of sustainability, namely the efficiency of operations and functions, the efficient utilisation of natural resources, the intelligent management of infrastructures and facilities, the improvement of the quality of life and well-being of citizens, and the

    “To put it differently, the use of big data analytics is projected to play a significant role in realising the key characteristic features of such cities in terms of sustainability, namely the efficiency of operations and functions, the efficient utilisation of natural resources, the intelligent management of infrastructures and facilities, the improvement of the quality of life and well-being of”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.

    Interpretationreasoning

    The untapped potential of big data applications is evident and needs to be unlocked and exploited within smart cities of the future or smarter cities.

    “In all, the untapped potential of big data applications is evident and needs to be unlocked and exploited within such cities.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S4 (based).

    Interpretationnone given

    With big data computing, making smart cities smarter in achieving sustainability becomes an attainable goal in an increasingly urbanised world.

    “big data computing, making such cities smarter in achieving sustainability becomes an attainable goal in an increasingly urbanised world.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    Sensitive information can relate to a number of personal facets and domains creating a number of inter-related privacy forms, including identity privacy, bodily privacy, territorial privacy, locational and movement privacy, communications privacy, and transactions privacy.

    “Such sensitive information can relate to a number of a personal facets and domains creating a number of inter-related privacy forms, including [94,110]:”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites [94] Martínez-Ballesté A, Pérez-Martínez PA, Solanas A. The pursuit of citizens’ privacy: aprivacy-aware smart city is possible. IEEE Commun Mag. 2013;51:136–41. source

      Not checked in the free run.

    • cites [110] Santucci G. Privacy in the digital economy: requiem or renaissance? Privacy Surgeon.See. 2013. http://www.privacysurgeon.org/blog/wp–content/uploads/2013/09/Privacy-in-the-Digital-Economy-final.pdf (accessed 12 November 2015).

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationnone given

    New ethical frameworks based on gifting or sharing, in which citizens swap their data for a tangible return, offer an alternative underpinning for smart cities of the future or smarter cities and urban science.

    “From a social perspective, new ethical frameworks based on gifting or sharing, in which citizens swap their data for a tangible return, offer an alternative underpinning for smart cities of the future or smarter cities and urban science.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Interpretationnone given

    When all systems become integrated, networked, and ubiquitous, data will be shared among all urban entities.

    “When all systems become integrated, networked, and ubiquitous, data will be shared among all urban entities.”
    Quote in the paperNot a substantial claim
201 of 201
  • The paper relies on this without support.

    Cities consume about 67% of the global energy demand and generate up to 70% of the harmful GHG emissions.

    “It is estimated that they consume about 67% of the global energy demand and generate up to 70% of the harmful GHG emissions.”
  • The authors state this as an assumption.

    As ICT becomes spatially omnipresent across urban environments, smart cities can become smarter and solve environmental problems and respond to socio-economic needs.

    “The underlying assumption is that, as ICT becomes spatially omnipresent across urban environments, i.e., data sensing, data processing, cloud/fog computing, and wireless communication networking become more and more combined with infrastructure, architecture, ecosystem services, human services, and even citizens' bodies, smart cities can become smarter and also so as to solving environmental”
  • The paper relies on this without support.

    The field of sustainable smart and smarter cities is profoundly interdisciplinary and transdisciplinary in nature.

    “The field of sustainable smart and smarter cities is profoundly interdisciplinary and transdisciplinary in nature, so too is research within, and thus literature on, it.”
  • The paper relies on this without support.

    There has recently been a conscious push for cities across the globe to be smart and even smarter and thus more sustainable by developing and implementing big data technologies and their applications across various urban domains.

    “There has recently been a conscious push for cities across the globe to be smart and even smarter and thus more sustainable by developing and implementing big data technologies and their applications across various urban domains in the hopes of reaching the required level of sustainability and improving the living standard of citizens.”
  • The paper relies on this without support.

    The financial abilities, human/social resources, and regulatory policies required to develop, implement, and sustain smart cities are the most significant challenges governments around the world are concerned about and are dealing with.

    “However, the financial abilities, human/social resources, and regulatory policies required to develop, implement, and sustain smart cities are the most significant challenges governments around the world are concerned about and are dealing with.”
  • The authors state this as an assumption.

    Smarter cities or smart cities of the future have tremendous potential compared to current smart cities as to advancing sustainability.

    “The underlying assumption is that smarter cities or smart cities of the future have tremendous potential compared to current smart cities as to advancing sustainability.”
  • The paper relies on this without support.

    There has recently been a conscious push for cities in Europe to be smarter and thus more sustainable, leading to the need to benchmark these cities' efforts using advanced assessment frameworks to rank them based on how smarter and more sustainable they are.

    “Indeed, there has recently been a conscious push for cities in Europe to be smarter and thus more sustainable, leading to the need to benchmark these cities' efforts using advanced assessment frameworks to rank them based on how smarter and more sustainable they are.”
  • The paper relies on this without support.

    Emerging technologies such as big data analytics hold great potential to transform the challenges of developing, implementing, and sustaining smart cities into opportunities.

    “Positively, the emerging technologies such as big data analytics hold great potential to transform such challenges into opportunities.”
  • The paper relies on this without support.

    ICT is founded on the application of data science and complexity science, which are well positioned to tackle the complex challenges of urbanisation and sustainability.

    “This is due to the fact that ICT is founded on the application of data science and complexity science, which are well positioned to tackle the complex challenges of urbanisation and sustainability.”
  • The authors state this as an assumption.

    ICT as an integrative and constitutive technology can make a substantial contribution to enhancing the outcome of established sustainability strategies if planned strategically and its implementation is directed for the purpose in the context of smart and smarter cities.

    “The underlying premise is that ICT as an integrative and constitutive technology can make a substantial contribution to enhancing the outcome of these strategies if planned strategically and its implementation is directed for the purpose in the context of smart and smarter cities.”
  • The paper relies on this without support.

    Socio-economic factors affect the use of smart technologies.

    “Regardless, socio-economic factors affect the use of smart technologies, and to fully optimise their potential, such factors need to be addressed so that smart and smarter city technologies can play a part in contributing to sustainability.”
  • The paper relies on this without support.

    The smart and smarter city endeavour can be driven by a wide range of target objectives as well as available resources, technical capabilities, and policy regulations, and shaped by diverse disruptive technologies and how these are embedded in the socio-cultural context as part of the socio-technical landscape.

    “And in this sense, it is of relevance to look at the smart and smarter city endeavour as an ambition which can be driven by a wide range of target objectives as well as available resources, technical capabilities, and policy regulations, and also shaped by diverse disruptive technologies and how these are embedded in the socio-cultural context as part of the socio-technical landscape.”
  • The paper relies on this without support.

    There will be multiple ways to achieve such objectives, manage available resources, design and execute policy regulations.

    “Obviously, there will be multiple ways to achieve such objectives, manage available resources, design and execute policy regulations.”
  • The paper relies on this without support.

    Many governments have recently set ambitious targets to transition their cities to being sustainable smart using various initiatives, or have adopted smart city and big data applications to reach sustainability and improve living standards.

    “In addition, many governments have recently set ambitious targets to transition their cities to being sustainable smart using a variety of initiatives and programs, or have adopted the concept of smart city and implemented big data applications to reach the required level of sustainability and to improve the living standards.”
  • The paper relies on this without support.

    The promises of smart cities are leading to an exponential increase in data by several orders of magnitude.

    “In the meantime, the promises of smart cities is leading to an exponential increase in data by several orders of magnitude.”
  • The paper relies on this without support.

    Most of the sustainability benefits and opportunities of smart cities tend to be associated with what is labeled 'smarter cities'.

    “Worth pointing out is that most of the sustainability benefits and opportunities of smart cities tend to be associated with what is labeled 'smarter cities' .”
  • The authors state this as an assumption.

    ICT of pervasive computing offers great opportunities for monitoring, understanding, and analysing various aspects of urbanity for operating, managing, and planning urban systems in ways that can be leveraged in the needed transition towards, and the advancement of, sustainability.

    “This is predicated on the assumption that ICT of pervasive computing offers great opportunities for monitoring, understanding, and analysing various aspects of urbanity for operating, managing, and planning urban systems in ways that can be leveraged in the needed transition towards, and the advancement of, sustainability.”
  • The paper relies on this without support.

    The operation of transport apps for social sustainability must be based on big data on travel behaviour, mobility models, and multimodal transport.

    “Indeed, their operation must be based on big data on travel behaviour, mobility models, and multimodal transport.”
  • The paper relies on this without support.

    Many smart urban technologies capture data without the consent of citizens.

    “As widely acknowledged, many smart urban technologies capture data without the consent of citizens”
  • The paper relies on this without support.

    The reviewed literature is comprehensive enough to establish the status of current knowledge about the sustainability of smart and smarter cities.

    “The outcome of this extensive review allowed to establish the status of current knowledge about the sustainability of smart and smarter cities in their current state”
20 of 20

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

  • Twelve application domains are claimed, but thirteen are listed

    Minor

    The list contains thirteen semicolon-separated application domains, although the paper says there are twelve.

1 of 1

Cites

Flagged first, then by citations

Research works printed but not linked: 14

  1. Bahga A, Madisetti V. Big bata science and analytics: a hands-on approach. Berlin: VPT; 2016.
  2. Batty M. Technology highs. Guardian. 1989;22:29.
  3. Bettencourt LMA. The uses of big data in cities Santa Fe Institute. New Mexico: Santa Fe; 2014.
  4. Caragliu A, Del Bo C, Nijkamp P. ‘Smart cities in Europe’ (series research memoranda 0048). Amsterdam: VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics; 2009.
  5. Dameri R, Cocchia A. Smart city and digital city: twenty years of terminology evolution. In: X Conference of the Italian chapter of AIS, ITAIS 2013, Università Commerciale Luigi Bocconi, Milan (Italy). 2013, p. 18.
  6. Dumreicher H, Levine RS, Yanarella EJ. The appropriate scale for “low energy”: theory and practice at the Westbahnhof. In: Steemers K, Yannas S, editors. Architecture, city, environment, proceedings of PLEA 2000. London: James & James; 2000. p. 359–63.
  7. Dutton WH, Blumler JG, Kraemer KL. Wired cities: shaping future communication. New York: Macmillan; 1987.
  8. Hollands RG. Will the real smart city please stand up? City Anal Urban Trends Cult Theory Policy Action. 2008;12(3):303–20.
  9. Karun KA, Chitharanjan K. A review on hadoop—HDFS infrastructure extensions. In: IEEE, information and communication technologies (ICT). 2013, p. 132–7.
  10. Kumar A, Prakash A. The role of big data and analytics in smart cities. Int J Sci Res. 2014;6(14):12–23.
  11. Laney D. 3–D data management: controlling data volume, velocity and variety. New York: META group research note; 2001.
  12. Mayer-Schonberger V, Cukier K. Big data: A revolution that will change how we live, work and think. London: John Murray; 2013.
  13. UNECE. Key performance indicators for smart sustainable cities to assess the achievement of sustainable development goals, vol. 1603. Geneva: UNECE; 2015.
  14. Wheeler SM. Constructing sustainable development/safeguarding our common future: rethinking sustainable development. J Am Plan Assoc. 2002;68(1):110–1.

Cited by

Sorted by citations

Authors
Bibri, S. E.
Affiliations
Norwegian University of Science and Technology (NO)
Corresponding author
Bibri, Simon Elias
Venue
Journal of Big Data
Published
2019-03-15
Volume
6
Issue
1
ISSN
2196-1115 (ISSN-L)
OpenAlex
W2938863654
Cited by
278
References
139
Citations by year
2026: 28 · 2025: 29 · 2024: 52 · 2023: 32 · 2022: 35 · 2021: 41 · 2020: 37 · 2019: 24
FWCI
22.97
Type
journal article
Language
en
Open access
Locations
  • Journal Of Big Data (publishedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • NORA - Norwegian Open Research Archives (submittedVersion, cc-by)
Topics
  • Physical Sciences › Engineering › Media Technology › Smart Cities and Technologies
  • Physical Sciences › Computer Science › Information Systems › AI and Big Data Applications
  • Social Sciences › Urban Studies › Sustainable Urban and Rural Development
Keywords
smart cities, urban sustainability, big data analytics, data-driven urbanism, sustainable development, urban management, urban planning, urban policy

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