Abstract The understanding of public health condition is important for the community resilience. The evaluation of public health resilience provides crucial information for urban planning. To estimate the susceptibility and recuperability of epidemic, the urban anti-epidemic resilience indicator system which consists of three categories of risk, repression, and adaptability is constructed by models which are established to estimate the mobility and concentration of population and the accessibility of medical resources. After collecting and reprocessing data with Geographic Information System (GIS) of 30 cities of China, through Weighing-TOPSIS (Technique for Order Preference by Similarity to Ideal Solution), resilience level of objects is obtained. Results show an overall anti-epidemic resilience situation is controlled by population mobility, population aggregation, health resource, governance, and socioeconomics, which could assist in urban design and pandemic response.
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Tian et al. (2024) studied this question.
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