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Cited by 530

The DOI matches its Crossref record; 72 of the 72 references it cites were found in a registry or an index.

Moving towards smart cities: Solutions that lead to the Smart City Transformation Framework

Kumar, Harish, Singh, Manoj Kumar, Gupta, M.P., Madaan, Jitendra·2020·Technological Forecasting and Social Change
DOI 10.1016/j.techfore.2018.04.024
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Abstract

Abstract A city is a large and permanent human ecosystem which provides a lot of services and opportunities to its citizens. The rapid urbanization and increasing population have put a lot of strains on city infrastructures and service deliveries. The current urbanization requires strong strategies and innovative planning to modernize the urban life. Many cities are enhancing quality and performance of urban services by being digitalized, intelligent and smarter. The policymakers and city authorities are exploring solutions to deliver the new services in an efficient, responsive and sustainable manner for a large population. The study explores all the possible services among various city dimensions which can make a city smart. The ideas related to smart services are collected from the peer vetted creative crowdsourcing process performed online in India. A directed qualitative conventional content analysis is used to analyze the collected ideas. The unique ideas are clustered into 19 different service categories. The findings suggest multi-dimensional service classification along with required basic infrastructural development. Further, the Smart City Transformation Framework (SCTF) is proposed to help the policy makers, urban developers, government officials and service providers in terms of understanding and to draw more insights from the suggested smart solutions for development of smart cities. There are four key areas (Planning, Physical infrastructure, ICT infrastructure and Deploying Smart solutions) discussed in the proposed framework to illustrate the city transformation. The proposed SCTF is supported by literature and examples adopted by various smart cities across the world to illustrate its effectiveness. Moreover, a mind map is designed to illustrate the interrelationships among the collected ideas in an attractive and procedural visualization for city transformation process.

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Citations

Cites

1 retracted

Research works printed but not linked: 8

  1. Chang, 2007, From Open Source to long-term sustainability: Review of Business Models and Case studies
  2. Howe, 2006, The rise of crowdsourcing, Wired Mag., 14, 1
  3. Lăcrămioara, 2015, New perspectives about teacher training: conceptual maps used for interactive learning, Proc. Soc. Behav. Sci., 180, 899, 10.1016/j.sbspro.2015.02.239 · doi:10.1016/j.sbspro.2015.02.239
  4. Liu, 2016, A crowdsourcing design framework for concept generation, CIRP Ann. Manuf. Technol., 65, 177, 10.1016/j.cirp.2016.04.021 · doi:10.1016/j.cirp.2016.04.021
  5. Novotný, 2014, Smart city concept, applications and services, J. Telecommun. Syst. Manag., 3, 1
  6. Prasad, 2008, Content analysis, Res. Methods Soc. Work, 5
  7. Somers, 2014, Using mind maps to study how business school students and faculty organize and apply general business knowledge, Int. J. Manag. Educ., 12, 1
  8. Wey, 2014, New urbanism and smart growth: toward achieving a smart National Taipei University District, Habitat Int., 42, 164, 10.1016/j.habitatint.2013.12.001 · doi:10.1016/j.habitatint.2013.12.001

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Metadata

Authors
Kumar, H., Singh, M. K., Gupta, M. P., & Madaan, J.
Venue
Technological Forecasting and Social Change
Publisher
Elsevier BV
Published
2020-04
Volume
153
Pages
119281
ISSN
0040-1625 (ISSN-L)
DOI
10.1016/j.techfore.2018.04.024
OpenAlex
W2800216323
Cited by
530
References
72
FWCI
31.04
Type
journal article
Language
en
Open access
closed
Licence
  • www.elsevier.com/tdm/userlicense/1.0/ (tdm)
  • www.elsevier.com/legal/tdmrep-license (tdm)

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