Measuring the Urban Resilience Abased on Geographically Weighted Regression (GWR) Model in the Post-Pandemic Era: A Case Study of Jiangsu Province, China

Yi Liu, Tiantian Gu, Lingzhi Li, Peng Cui () and Yan Liu
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Yi Liu: 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
Lingzhi Li: Department of Intelligent Construction and Management, School of Civil Engineering, Nanjing Tech University, Nanjing 211816, China
Peng Cui: Department of Engineering Management, School of Civil Engineering, Nanjing Forestry University, Nanjing 210037, China
Yan Liu: Department of Complex Engineering Management, School of Management and Engineering, Nanjing University, Nanjing 210008, China

Land, 2023, vol. 12, issue 7, 1-19

Abstract: Since China declared that the post-epidemic era would begin in April 2020, the prevention and control of epidemics have become routine. The capacity of cities to respond to future public health emergencies will be enhanced if the resilience of cities is accurately measured and an emphasis is placed on improving resilience levels. Under the 4R framework, this study quantifies and analyzes the level of resilience of the cities in Jiangsu Province from both subjective and objective perspectives. By selecting explanatory variables and developing a GWR model, the spatial distribution characteristics of the quantified scores of resilience and the spatial characteristics of the influencing factors are analyzed. The results indicate that cities in southern Jiangsu should invest more in economic development and medical resources in the post-epidemic period. Northern Jiangsu should prioritize boosting the health and social work sector’s gross domestic product. Coastal cities must enhance their capacity for innocuous waste treatment.

Keywords: post-pandemic era; resilience quantification; GWR (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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