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Spatial Development and Coupling Coordination of Society–Physics–Informational Smart Cities: A Case Study on Thirty Capitals in China

Author

Listed:
  • Chao Wang

    (School of Public Policy & Management, China University of Mining and Technology, Xuzhou 221116, China)

  • Changhao Zhu

    (Sun Yueqi College, China University of Mining and Technology, Xuzhou 221116, China)

  • Mingrun Du

    (Sun Yueqi College, China University of Mining and Technology, Xuzhou 221116, China)

Abstract

The smart city concept has taken center stage as a paradigm shift in urban governance, promising innovation, sustainability, and strategic upgrades, and drawing the attention of researchers globally. However, existing frameworks for assessing smart cities remain incomplete and simplistic. This paper aims to address the following question: what is the process and current situation of 30 capitals in China after the implementation of smart city construction, especially from the new perspective of social, physical, and informational space development? To this end, we focus on 30 national and provincial capitals in China, proposing a novel, tri-dimensional SPI model—Social, Physical, and Information space—for smart city spatial development assessment. Employing a robust methodological approach, including entropy weighting, coupled coordination degree models, and the Dagum Gini coefficient, we conduct a spatial development and coordination analysis of these cities from 2011 to 2021. In addition, we utilize BP neural networks to evaluate the contribution of each indicator to the spatial coupled coordination. Our findings indicate a steady increase in the spatial coupled coordination development level of smart capitals in China, alongside a narrowing disparity in development speeds across regions, resulting in a staggered spatial distribution pattern. Specifically, the Information space subsystem represents the most influential driver of coupled coordination. The significance of this research lies in its unique tri-dimensional spatial perspective, offering valuable insights into the spatial development and coordination discrepancies in the smart city concept. These insights offer evidence-based support for regional planning and optimization strategies in China.

Suggested Citation

  • Chao Wang & Changhao Zhu & Mingrun Du, 2024. "Spatial Development and Coupling Coordination of Society–Physics–Informational Smart Cities: A Case Study on Thirty Capitals in China," Land, MDPI, vol. 13(6), pages 1-22, June.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:6:p:872-:d:1416443
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    References listed on IDEAS

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    2. Sorri, Krista & Yrjönkoski, Katariina & Seppänen, Marko, 2024. "Smart cities, smarter values: Unpacking the ecosystem of urban innovation," Technology in Society, Elsevier, vol. 77(C).
    3. Tania Ray Bhattacharya & Anindya Bhattacharya & Benjamin Mclellan & Tetsuo Tezuka, 2020. "Sustainable smart city development framework for developing countries," Urban Research & Practice, Taylor & Francis Journals, vol. 13(2), pages 180-212, March.
    4. 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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