Towards cloud based big data analytics for smart future cities
Open accessAbstract
A large amount of land-use, environment, socio-economic, energy and transport data is generated in cities. An integrated perspective of managing and analysing such big data can answer a number of science, policy, planning, governance and business questions and support decision making in enabling a smarter environment. This paper presents a theoretical and experimental perspective on the smart cities focused big data management and analysis by proposing a cloud-based analytics service. A prototype has been designed and developed to demonstrate the effectiveness of the analytics service for big data analysis. The prototype has been implemented using Hadoop and Spark and the results are compared. The service analyses the Bristol Open data by identifying correlations between selected urban environment indicators. Experiments are performed using Hadoop and Spark and results are presented in this paper. The data pertaining to quality of life mainly crime and safety & economy and employment was analysed from the data catalogue to measure the indicators spread over years to assess positive and negative trends.
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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]).”
From On the sustainability of smart and smarter cities in the era of big data: an interdisciplinary and transdisciplinary literature review (2019) · cites this paper as [73]
There are also smart city strategies that combine the technology-oriented and people-oriented perspectives.
“There are also smart city strategies that combine these two perspectives (e.g., [16,73]).”
From On the sustainability of smart and smarter cities in the era of big data: an interdisciplinary and transdisciplinary literature review (2019) · cites this paper as [73]
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.”
From On the sustainability of smart and smarter cities in the era of big data: an interdisciplinary and transdisciplinary literature review (2019) · cites this paper as [73]
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- Authors
- Khan, Z., Anjum, A., Soomro, K., & Tahir, M. A.
- Affiliations
- University of the West of England (GB)
- University of Derby (GB)
- Northumbria University (GB)
- Corresponding author
- Khan, Zaheer
- Venue
- Journal of Cloud Computing
- Published
- 2015-02-18
- Volume
- 4
- Issue
- 1
- ISSN
- 2192-113X (ISSN-L)
- OpenAlex
- W2154733731
- Cited by
- 229
- References
- 26
- Citations by year
- 2026: 7 · 2025: 15 · 2024: 8 · 2023: 16 · 2022: 10 · 2021: 20 · 2020: 32 · 2019: 39 · 2018: 38 · 2017: 25 · 2016: 18 · 2015: 1
- FWCI
- 43.83
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Journal of Cloud Computing Advances Systems and Applications (publishedVersion, cc-by)
- Northumbria Research Link (Northumbria University) (acceptedVersion)
- UWE Research Repository (UWE Bristol) (submittedVersion, cc-by)
- University of Derby Online Research Archive. (University of Derby) (submittedVersion)
- Funders
- University of the West of England
- Topics
- Physical Sciences › Engineering › Media Technology › Smart Cities and Technologies
- Physical Sciences › Computer Science › Information Systems › Cloud Computing and Resource Management
- Social Sciences › Decision Sciences › Information Systems and Management › Big Data Technologies and Applications
- Keywords
- smart cities, big data analytics, big data management, Hadoop, Apache Spark, urban indicators, open data, crime and safety, employment, quality of life, urban planning
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