Key Influencing Factors and Optimization Strategy of Epidemic Resilience in Urban Communities—A Case Study of Nanjing, China

Peng Cui (), Yi Liu, Xuan Ju and Tiantian Gu
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Peng Cui: Department of Engineering Management, School of Civil Engineering, Nanjing Forestry University, Nanjing 210037, China
Yi Liu: Department of Engineering Management, School of Civil Engineering, Nanjing Forestry University, Nanjing 210037, China
Xuan Ju: Department of Engineering Management, School of Civil Engineering, Nanjing Forestry University, Nanjing 210037, China
Tiantian Gu: Department of Engineering Management, School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou 221116, China

IJERPH, 2022, vol. 19, issue 16, 1-20

Abstract: COVID-19 has posed a significantly severe impact on both people’s lives and the global economic development. Increasing the community epidemic resilience will considerably improve the national public health emergency response capacity from bottom to top. This study identifies the influencing factors of community epidemic resilience through systematic literature review under the 4R framework, then obtains the relationships of influencing factors through Interpretive structural model, and finally assesses the performance of epidemic resilience using PROMETHEE II method through empirical cases in Nanjing, China. The results show that: (1) Eight factors influencing the epidemic resilience of community are identified, and the economic level plays the root role; (2) Community epidemic resilience can be improved from robustness, rapidity, redundancy and resourcefulness aspects; (3) Through the empirical analysis, the epidemic resilience ranking of community can be displayed (Community D > T > S > F); (4) Additionally, the performance and sensitivity analysis of influencing factors in each community can be demonstrated. (5) Finally, four implications are proposed, namely, allocating public resources rationally, significantly increasing the economic level, ensuring the accuracy of information delivery and conducting disaster learning.

Keywords: COVID-19; urban community; epidemic resilience; ISM; PROMETHEE II (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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