Spatiotemporal Evolution of Urban Resilience and Spatial Spillover Effects in Guangdong Province, China

被引:3
|
作者
Deng, Haojian [1 ]
Liu, Kai [1 ,2 ,3 ,4 ]
机构
[1] Sun Yat Sen Univ, Sch Geog & Planning, Guangzhou 510006, Peoples R China
[2] Guangdong Prov Key Lab Urbanizat & Geosimulat, Guangzhou 510006, Peoples R China
[3] Sun Yat Sen Univ, Guangdong Prov Engn Res Ctr Publ Secur & Disaster, Guangzhou 510006, Peoples R China
[4] Southern Marine Sci & Engn Guangdong Lab, Zhuhai 519000, Peoples R China
关键词
coronavirus disease 2019 (COVID-19); Guangdong; optimal-parameters geographical detector (OPGD); spatial spillovers; urban resilience;
D O I
10.3390/land12091800
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In the context of global environmental changes, the frequency of various disasters and extreme events is increasing, and enhancing urban resilience has become an important guide for current urban development. Previous studies have mainly focused on changes in urban resilience, with less consideration for the impact of spatial spillover effects on urban resilience. Therefore, this paper aims to analyze the temporal and spatial evolution of urban resilience and its spatial spillover effects in Guangdong from 2012 to 2020 based on the urban resilience assessment model, the Getis-Ord Gi* model, and the improved Capello model. The results are as follows: Affected by COVID-19, the urban resilience of Guangdong Province declined from 2019 to 2020, and 42.86% of the cities demonstrated negative growth in their urban resilience. Urban resilience exhibited significant spatially non-equilibrium characteristics among different cities. The urban resilience of the cities in eastern, northern, and western Guangdong, which are the "collapse zone" of urban resilience, was lower than 0.229 from 2012 to 2020. The intensity of urban resilience spillover in Guangdong presented a typical three-level circle structure of "core-subcore-periphery", which decreased from the core circle to the surrounding circle. COVID-19 caused a 27.21% decrease in the total urban resilience spillover in Guangdong from 2019 to 2020. Finally, we identified critical driving factors of urban resilience using the optimal-parameters geographical detector model. This study can provide a scientific reference for the Chinese government to build resilient cities and improve sustainable urban development.
引用
收藏
页数:19
相关论文
共 50 条
  • [21] Spatiotemporal evolution and key driver analysis of ozone pollution from the perspectives of spatial spillover and path-dependence effects in China
    Zhu, Houle
    Liu, Zhe
    Wilson, Jeffrey
    Liu, Tongtong
    Negesa, Doryn
    Li, Yongzhi
    ENVIRONMENTAL POLLUTION, 2024, 356
  • [22] The spatiotemporal evolution of COVID-19 in China and its impact on urban economic resilience
    Wang, Xueli
    Wang, Lei
    Zhang, Xuerong
    Fan, Fei
    CHINA ECONOMIC REVIEW, 2022, 74
  • [23] The influence and spatial spillover effects of tourism economy on urban green development in China
    Tong Y.
    Liu H.
    Ma Y.
    Liu J.
    Zhang R.
    Dili Xuebao/Acta Geographica Sinica, 2021, 76 (10): : 2504 - 2521
  • [24] When the wind blows: Spatial spillover effects of urban air pollution in China
    Chen, Xiaoguang
    Ye, Jingjing
    JOURNAL OF PLANNING LITERATURE, 2022, 37 (01) : 182 - 182
  • [25] When the wind blows: spatial spillover effects of urban air pollution in China
    Chen, Xiaoguang
    Ye, Jingjing
    JOURNAL OF ENVIRONMENTAL PLANNING AND MANAGEMENT, 2019, 62 (08) : 1359 - 1376
  • [26] RESEARCH ON SPATIAL SPILLOVER EFFECTS AND REGIONAL DIFFERENCES OF URBAN HOUSING PRICE IN CHINA
    Zhao, Yang
    Wei, Ran
    Zhong, Chongwen
    ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, 2021, 55 (02): : 211 - 228
  • [27] Spatial patterns and variation of soil cadmium in Guangdong Province, China
    Zhang, H. H.
    Chen, J. J.
    Zhu, L.
    Li, F. B.
    Wu, Z. F.
    Yu, W. M.
    Liu, J. M.
    JOURNAL OF GEOCHEMICAL EXPLORATION, 2011, 109 (1-3) : 86 - 91
  • [28] Technology Spillover Effect in China: The Spatiotemporal Evolution and Its Drivers
    Liu, Chengliang
    Guo, Qingbin
    SUSTAINABILITY, 2019, 11 (06)
  • [29] Spatiotemporal analysis of indigenous and imported dengue fever cases in Guangdong province, China
    Zhongjie Li
    Wenwu Yin
    Archie Clements
    Gail Williams
    Shengjie Lai
    Hang Zhou
    Dan Zhao
    Yansha Guo
    Yonghui Zhang
    Jinfeng Wang
    Wenbiao Hu
    Weizhong Yang
    BMC Infectious Diseases, 12
  • [30] Spatiotemporal analysis of indigenous and imported dengue fever cases in Guangdong province, China
    Li, Zhongjie
    Yin, Wenwu
    Clements, Archie
    Williams, Gail
    Lai, Shengjie
    Zhou, Hang
    Zhao, Dan
    Guo, Yansha
    Zhang, Yonghui
    Wang, Jinfeng
    Hu, Wenbiao
    Yang, Weizhong
    BMC INFECTIOUS DISEASES, 2012, 12 : 132