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Smart City Governance Evaluation in the Era of Internet of Things: An Empirical Analysis of Jiangsu, China

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  • Wei-Ling Hsu

    (School of Urban and Environmental Science, Huaiyin Normal University, Huai’an 223300, China
    Key Research Base of Philosophy and Social Sciences of Colleges & Universities in Jiangsu Province, Research Institute of Huai River Eco-Economic Belt, Huai’an 223300, China)

  • Miao Qiao

    (School of Urban and Environmental Science, Huaiyin Normal University, Huai’an 223300, China
    Key Research Base of Philosophy and Social Sciences of Colleges & Universities in Jiangsu Province, Research Institute of Huai River Eco-Economic Belt, Huai’an 223300, China)

  • Haiying Xu

    (School of Urban and Environmental Science, Huaiyin Normal University, Huai’an 223300, China
    Key Research Base of Philosophy and Social Sciences of Colleges & Universities in Jiangsu Province, Research Institute of Huai River Eco-Economic Belt, Huai’an 223300, China)

  • Chunmei Zhang

    (School of Urban and Environmental Science, Huaiyin Normal University, Huai’an 223300, China
    Key Research Base of Philosophy and Social Sciences of Colleges & Universities in Jiangsu Province, Research Institute of Huai River Eco-Economic Belt, Huai’an 223300, China)

  • Hsin-Lung Liu

    (Department of Leisure Management, Minghsin University of Science and Technology, Hsinchu 30401, Taiwan)

  • Yan-Chyuan Shiau

    (College of Architecture & Design, Chung Hua University, Hsinchu 30012, Taiwan)

Abstract

With the rapid development of smart cities all over the world, the evaluation of the smart city has become a new research hotspot in the academic circles. Nevertheless, there still exist a series of common problems in current smart city evaluation, including the cognitive deprivation, lack of experience in planning, low coordination level, etc. Therefore, it is critical to establish a new hierarchy for smart city evaluation indicators, especially in the 5G era. Based on literature review, expert consensus, and the fuzzy analytic hierarchy process, this study developed an innovative smart city evaluation framework. In the framework, an index comprising three dimensions, i.e., smart economy, smart society, and smart environmental protection, as well as several attributes for these dimensions for smart city evaluation were established. Then, taking Jiangsu Province, the fastest-growing province in China, as the research area, the development level of smart city for the cities in Jiangsu was calculated. The results have verified the effectiveness of the framework, which can provide suggestions for sustainable urbanization, and help urban decision-makers to promote the efficient development of smart cities.

Suggested Citation

  • Wei-Ling Hsu & Miao Qiao & Haiying Xu & Chunmei Zhang & Hsin-Lung Liu & Yan-Chyuan Shiau, 2021. "Smart City Governance Evaluation in the Era of Internet of Things: An Empirical Analysis of Jiangsu, China," Sustainability, MDPI, vol. 13(24), pages 1-20, December.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:24:p:13606-:d:698588
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    References listed on IDEAS

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    1. Huawei Li & Guifang Wang & Guohang Tian & Sándor Jombach, 2020. "Mapping and Analyzing the Park Cooling Effect on Urban Heat Island in an Expanding City: A Case Study in Zhengzhou City, China," Land, MDPI, vol. 9(2), pages 1-17, February.
    2. Paroutis, Sotirios & Bennett, Mark & Heracleous, Loizos, 2014. "A strategic view on smart city technology: The case of IBM Smarter Cities during a recession," Technological Forecasting and Social Change, Elsevier, vol. 89(C), pages 262-272.
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    Cited by:

    1. Vahid Javidroozi & Hanifa Shah & Gerald Feldman, 2022. "Facilitating Smart City Development through Adaption of the Learnings from Enterprise Systems Integration," Sustainability, MDPI, vol. 14(7), pages 1-16, March.

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