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Spatiotemporal evolution and spatial relevance of urban resilience: Evidence from cities of China

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  • Tao Shi
  • Yurong Qiao
  • Qian Zhou

Abstract

Based on 2012–2017 panel data of 282 China’s cities, this paper uses the entropy method to calculate an urban resilience index, uses spatial cold–hot spots model to explore spatial characteristics of urban resilience, uses revised the gravity model to construct urban resilience spatial network characteristics, and uses the social network analysis method to analyze spatial network characteristics of urban resilience. The results show that: (1) Urban resilience of China’s cities has been gradually improved, and there is a geographical aggregation effect, with significant changes in hot spots and insignificant changes in cold spots. (2) Urban resilience has obvious spatial correlation and linkage effects and strong temporal fluctuation. The cities with higher degree centrality and closeness centrality are consistent in spatial distribution, mostly located in Bohai Rim, Pan‐Yangtze River Delta, Pearl River Delta and some central regions. The centrality obviously shows non‐equilibrium in spatial distribution. The cities with high centrality are mostly provincial capitals. (3) The “club effect” has not yet been reflected in the urban resilience spatial network, and the advantages of different regions are obviously different. Therefore, it is necessary to face up to the spatial difference of urban development and enhance the diversity and pertinence of urban resilience construction.

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  • Tao Shi & Yurong Qiao & Qian Zhou, 2021. "Spatiotemporal evolution and spatial relevance of urban resilience: Evidence from cities of China," Growth and Change, Wiley Blackwell, vol. 52(4), pages 2364-2390, December.
  • Handle: RePEc:bla:growch:v:52:y:2021:i:4:p:2364-2390
    DOI: 10.1111/grow.12554
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    3. Huali Pan & Yuxin Yang & Wei Zhang & Mingzhi Xu, 2024. "Research on Coupling Coordination of China’s Urban Resilience and Tourism Economy—Taking Yangtze River Delta City Cluster as an Example," Sustainability, MDPI, vol. 16(3), pages 1-27, February.
    4. Hanwen Zhang & Hongyan Liu & Chulsoo Kim, 2024. "Semantic and Instance Segmentation in Coastal Urban Spatial Perception: A Multi-Task Learning Framework with an Attention Mechanism," Sustainability, MDPI, vol. 16(2), pages 1-14, January.
    5. Yizhen Zhang & Zhen Deng & Agus Supriyadi & Rui Song & Tao Wang, 2022. "Spatiotemporal spread characteristics and influencing factors of COVID‐19 cases: Based on big data of population migration in China," Growth and Change, Wiley Blackwell, vol. 53(4), pages 1694-1715, December.
    6. Wang, Ke-Liang & Jiang, Wei & Miao, Zhuang, 2023. "Impact of high-speed railway on urban resilience in China: Does urban innovation matter?," Socio-Economic Planning Sciences, Elsevier, vol. 87(PB).
    7. Chenchen Shi & Xiaoping Zhu & Haowei Wu & Zhihui Li, 2022. "Assessment of Urban Ecological Resilience and Its Influencing Factors: A Case Study of the Beijing-Tianjin-Hebei Urban Agglomeration of China," Land, MDPI, vol. 11(6), pages 1-14, June.
    8. Chenchen Shi & Xiaoping Zhu & Haowei Wu & Zhihui Li, 2022. "Urbanization Impact on Regional Sustainable Development: Through the Lens of Urban-Rural Resilience," IJERPH, MDPI, vol. 19(22), pages 1-17, November.
    9. Ke Liu & Shiwen Yang & Qian Zhou & Yurong Qiao, 2021. "Spatiotemporal Evolution and Spatial Network Analysis of the Urban Ecological Carrying Capacity in the Yellow River Basin," IJERPH, MDPI, vol. 19(1), pages 1-25, December.
    10. Yu Chen & Xuyang Su & Qian Zhou, 2021. "Study on the Spatiotemporal Evolution and Influencing Factors of Urban Resilience in the Yellow River Basin," IJERPH, MDPI, vol. 18(19), pages 1-20, September.
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