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Spatial–Temporal Evolution of Urban Resilience and Its Influencing Factors: Evidence from the Guanzhong Plain Urban Agglomeration

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  • Fei Ma

    (School of Economics and Management, Chang’an University, Xi’an 710064, China)

  • Zuohang Wang

    (School of Economics and Management, Chang’an University, Xi’an 710064, China)

  • Qipeng Sun

    (School of Economics and Management, Chang’an University, Xi’an 710064, China)

  • Kum Fai Yuen

    (School of Civil and Environmental Engineering, Nanyang Technological University, Singapore 639798, Singapore)

  • Yanxia Zhang

    (School of Economics and Management, Chang’an University, Xi’an 710064, China)

  • Huifeng Xue

    (School of Economics and Management, Chang’an University, Xi’an 710064, China)

  • Shumei Zhao

    (School of Economics and Management, Chang’an University, Xi’an 710064, China)

Abstract

Rapid urbanization places great pressure on the ecological environment and the carrying capacity of cities. Improving urban resilience has become an inherent requirement for the sustainable development of modern cities and urban agglomerations. This study constructed a comprehensive system to evaluate urban resilience from four perspectives: The ecological environment, economic level, social environment, and infrastructure services. As a case study, the extreme entropy method and panel data from about 16 cities from 2009 to 2016 were used to calculate resilience levels in the Guanzhong plain urban agglomeration ( GPUA ) in China. The spatial and temporal evolution of urban resilience characteristics in the GPUA were analyzed using ArcGIS. The influencing factors were further explored using a grey correlation analysis. The results showed that the urban resilience of GPUA experienced geographical differentiation in the “East-Central-Western” area and a “circle type” evolution process. Most urban resilience levels were low. The resilience of the infrastructure and the ecological environment significantly impacted the city and became its development weaknesses. Economic considerations have become one of the main factors influencing fluctuations in urban resilience. In summary, this study explored the differences in resilience in the GPUA and provided a reference for improving the urban resilience of other cities located in underdeveloped regions. The study also provided a useful theoretical basis for sustainable urban development.

Suggested Citation

  • Fei Ma & Zuohang Wang & Qipeng Sun & Kum Fai Yuen & Yanxia Zhang & Huifeng Xue & Shumei Zhao, 2020. "Spatial–Temporal Evolution of Urban Resilience and Its Influencing Factors: Evidence from the Guanzhong Plain Urban Agglomeration," Sustainability, MDPI, vol. 12(7), pages 1-24, March.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:7:p:2593-:d:336727
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    3. Mei Yang & Mengyun Jiao & Jinyu Zhang, 2022. "Research on Urban Resilience and Influencing Factors of Chengdu-Chongqing Economic Circle," Sustainability, MDPI, vol. 14(17), pages 1-19, August.
    4. Batara Surya & Agus Salim & Hernita Hernita & Seri Suriani & Firman Menne & Emil Salim Rasyidi, 2021. "Land Use Change, Urban Agglomeration, and Urban Sprawl: A Sustainable Development Perspective of Makassar City, Indonesia," Land, MDPI, vol. 10(6), pages 1-31, May.
    5. Kunjie Peng & Xiaorong He & Chunxiao Xu, 2023. "Coupling Coordination Relationship and Dynamic Response between Urbanization and Urban Resilience: Case of Yangtze River Delta," Sustainability, MDPI, vol. 15(3), pages 1-25, February.
    6. Chang-Tai Lee & Jin-Li Hu & Ming-Hsin Kung, 2022. "Economic Resilience in the Early Stage of the COVID-19 Pandemic: An Across-Economy Comparison," Sustainability, MDPI, vol. 14(8), pages 1-25, April.
    7. Bao Meng & Jifei Zhang & Xiaohui Zhang, 2023. "Detecting the Spatial Network Structure of the Guanzhong Plain Urban Agglomeration, China: A Multi-Dimensional Element Flow Perspective," Land, MDPI, vol. 12(3), pages 1-18, February.
    8. Xuefei Ma & Xiaohong Chen & Yue Du & Xuan Zhu & Yue Dai & Xin Li & Rui Zhang & Ying Wang, 2022. "Evaluation of Urban Spatial Resilience and Its Influencing Factors: Case Study of the Harbin–Changchun Urban Agglomeration in China," Sustainability, MDPI, vol. 14(5), pages 1-17, March.
    9. Sedigheh Meimandi Parizi & Mohammad Taleai & Ayyoob Sharifi, 2021. "Integrated methods to determine urban physical resilience characteristics and their interactions," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 109(1), pages 725-754, October.
    10. Jianing Xu & Weidong Li, 2023. "High-Speed Rail and Industrial Agglomeration: Evidence from China’s Urban Agglomerations," Land, MDPI, vol. 12(8), pages 1-18, August.
    11. Jie Huang & Zimin Sun & Minzhe Du, 2022. "Differences and Drivers of Urban Resilience in Eight Major Urban Agglomerations: Evidence from China," Land, MDPI, vol. 11(9), pages 1-18, September.
    12. Xiaowen Wang & Meiyue Li, 2022. "Determinants of Regional Economic Resilience to Economic Crisis: Evidence from Chinese Economies," Sustainability, MDPI, vol. 14(2), pages 1-25, January.
    13. Yong Xiang & Yonghua Chen & Yangyang Su & Zeyou Chen & Junna Meng, 2023. "Research on the Evaluation and Spatial–Temporal Evolution of Safe and Resilient Cities Based on Catastrophe Theory—A Case Study of Ten Regions in Western China," Sustainability, MDPI, vol. 15(12), pages 1-50, June.

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