Data-Driven Urban Resilience Evaluation Using Four Dimensions for Cities in Northern Anhui Province
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Abstract
Urban resilience is a crucial determinant of sustainable urban development. Northern Anhui, one of the rapidly growing cities in China, is making significant efforts toward sustainable urban development. However, there is a lack of a comprehensive method to assess its level of urban resilience. Hence, this study aimed to develop an urban resilience evaluation index for Anhui based on four dimensions: social, economic, infrastructure and ecological (SEIE). The study evaluated urban resilience and the major influencing factors that affected the urban resilience level. The entropy weight method was used to evaluate urban resilience, the coupling coordination degree model measures the SEIE coupling coordination degree of each city and the obstacle degree model identifies key obstacles. The results indicated that the overall spatial distribution of resilience levels in the study area was higher in the east and west and lower in the north and south. The SEIE showed a pattern of “high coupling, low coordination” in Northern Anhui, with the social dimension having the most significant impact on urban resilience. The factors most influencing urban resilience in different cities in Northern Anhui were pension insurance coverage, facilities, health institutions and green spaces. Therefore, some recommendations were made to promote regional coordinated development, increase investment in social development and formulate targeted policies to enhance investments. The findings provide theoretical support for improving urban resilience in Northern Anhui and offer a reference for local governments and planners. Furthermore, the SEIE index could also be applied to evaluate the level of urban resilience in other similar cities across China.
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