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An evaluation system based on the self-organizing system framework of smart cities: A case study of smart transportation systems in China

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  • Yan, Jianghui
  • Liu, Jinping
  • Tseng, Fang-Mei

Abstract

Smart cities have been developing aggressively around the globe, especially in China. As of 2017, more than 1000 cities in the world have commenced smart city developments, half of which are in China. However, there is not a uniform and clear understanding of smart city systems; this may affect their evaluation/planning and lead to misguided construction. Smart cities are characterized by complex self-organizing systems, and thus their sustainable and healthy development may require following the evolutionary patterns of such systems. Hence, self-organizing system theory may be useful in explaining such cities. Therefore, this paper first performs secondary qualitative data analyses of previous attempts at characterizing smart city development to identify the most robust aspects tested in previous work. Then, incorporating the results, self-organization theory is used to develop an overall, comprehensive system framework of smart cities. In this framework, all types of smart devices are the basic units of development (defined as “smart cells”). Meanwhile, Information and Communications Technology (ICT) and developmental mechanisms offer technical support and regulatory mechanisms in the spontaneous operation of smart cities. These three dimensions (smart cells, ICT, and developmental mechanisms) are combined into a scalable and distributed smart city evaluation system. Finally, smart transportation systems and the current state of these in China are used as a case study for discussion.

Suggested Citation

  • Yan, Jianghui & Liu, Jinping & Tseng, Fang-Mei, 2020. "An evaluation system based on the self-organizing system framework of smart cities: A case study of smart transportation systems in China," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    • Handle: RePEc:eee:tefoso:v:153:y:2020:i:c:s0040162518301021
    DOI: 10.1016/j.techfore.2018.07.009
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    References listed on IDEAS

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    1. Jesse M. Shapiro, 2006. "Smart Cities: Quality of Life, Productivity, and the Growth Effects of Human Capital," The Review of Economics and Statistics, MIT Press, vol. 88(2), pages 324-335, May.
    2. Dong Lu & Ye Tian & Vincent Y. Liu & Yi Zhang, 2015. "The Performance of the Smart Cities in China—A Comparative Study by Means of Self-Organizing Maps and Social Networks Analysis," Sustainability, MDPI, vol. 7(6), pages 1-18, June.
    3. Vito Albino & Umberto Berardi & Rosa Maria Dangelico, 2015. "Smart Cities: Definitions, Dimensions, Performance, and Initiatives," Journal of Urban Technology, Taylor & Francis Journals, vol. 22(1), pages 3-21, January.
    4. Lee, Jung Hoon & Phaal, Robert & Lee, Sang-Ho, 2013. "An integrated service-device-technology roadmap for smart city development," Technological Forecasting and Social Change, Elsevier, vol. 80(2), pages 286-306.
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    Cited by:

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    4. Zhao, Congyu & Wang, Kun & Dong, Xiucheng & Dong, Kangyin, 2022. "Is smart transportation associated with reduced carbon emissions? The case of China," Energy Economics, Elsevier, vol. 105(C).
    5. Qinghong Cui & Run Chen & Ruirui Wei & Xiancun Hu & Guangbin Wang, 2023. "Smart Mega-City Development in Practice: A Case of Shanghai, China," Sustainability, MDPI, vol. 15(2), pages 1-16, January.
    6. Romeo-Victor Ionescu & Monica Laura Zlati & Valentin-Marian Antohi, 2023. "Smart cities from low cost to expensive solutions under an optimal analysis," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-34, December.
    7. Inna Čábelková & Wadim Strielkowski & Frank-Detlef Wende & Raisa Krayneva, 2020. "Factors Influencing the Threats for Urban Energy Networks: The Inhabitants’ Point of View," Energies, MDPI, vol. 13(21), pages 1-19, October.
    8. Ali Gohar & Gianfranco Nencioni, 2021. "The Role of 5G Technologies in a Smart City: The Case for Intelligent Transportation System," Sustainability, MDPI, vol. 13(9), pages 1-24, May.
    9. Ke Wang & Yafei Zhao & Rajan Kumar Gangadhari & Zhixing Li, 2021. "Analyzing the Adoption Challenges of the Internet of Things (IoT) and Artificial Intelligence (AI) for Smart Cities in China," Sustainability, MDPI, vol. 13(19), pages 1-35, October.

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