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Abstract:
The urban resilience has become the key strategy for sustainable urban development due to accelerated process of urbanization and the diverse challenges. In-depth research on the temporal and spatial evolution characteristics of urban resilience levels in China is of significant importance for gaining a comprehensive understanding of overall urban development and enhancing urban disaster prevention and mitigation capabilities. To investigate the spatial and temporal evolution characteristics of urban resilience levels of 31 administrative regions from 2016 to 2020, this study comprehensively evaluates the urban resilience level in five years based on the ReCOVER urban resilience evaluation system, and studies the evolution characteristics of urban resilience in each provincial administrative region from both temporal and spatial dimensions. The results show that: in the time dimension, the national urban resilience level has been generally improved, but the evolution characteristics exhibit diversity. On the perspective of stages, the overall resilience level of the four stages shows an increasing trend. On the perspective of dimensions, the resilience levels of community and population dimension show a declining trend, but the resilience levels of other dimensions are improving. In the spatial dimension, there is a significant positive spatial correlation between the urban resilience of different provincial administrative regions. The urban resilience shows a significant agglomeration in the spatial distribution, and the agglomeration trend shows certain dispersion. In general, the urban resilience presents an obvious pattern of higher in the east and lower in the west, and the spatial diversity characteristics are obvious. This study helps to understand the evolution trend of resilience level in China and the main factors driving urban resilience. Therefore, based on the evolution characteristics of resilience and characteristics of regional cities, this study helps to provide scientific theoretical guidance for the future resilience enhancement across the country. © 2024 Institute of Engineering Mechanics (IEM). All rights reserved.
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Journal of Natural Disasters
ISSN: 1004-4574
Year: 2024
Issue: 1
Volume: 33
Page: 19-29
Cited Count:
WoS CC Cited Count: 0
SCOPUS Cited Count:
ESI Highly Cited Papers on the List: 0 Unfold All
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Chinese Cited Count:
30 Days PV: 4
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