The Evaluation and Obstacle Analysis of Urban Safety Resilience Based on Multi-Factor Perspective in Beijing

Lu Liu, Jingjing Pei (), Huiquan Wang and Yun Luo
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Lu Liu: School of Engineering and Technology, China University of Geosciences, Beijing 100083, China
Jingjing Pei: School of Engineering and Technology, China University of Geosciences, Beijing 100083, China
Huiquan Wang: School of Politics and Public Administration, China University of Political Science and Law, Beijing 100088, China
Yun Luo: School of Engineering and Technology, China University of Geosciences, Beijing 100083, China

Land, 2023, vol. 12, issue 10, 1-29

Abstract: Urban resilience assessment is crucial to guarantee the safe and stable operation of our cities. Looking at the whole process of emergencies from the occurrence, development, causing disaster losses to taking emergency response measures, we combine the danger of urban accident and disaster, the capacity of disaster-bearing carriers, and the emergency management capacity as the influencing factors. Taking Beijing as an example, considering the completeness of the relevant indicators and the difficulty of obtaining data, TOPSIS is used to construct a multi-factor comprehensive assessment model of urban safety resilience; At the same time, the important factors constraining the improvement of safety resilience are further analyzed by using the obstacle degree model. The results show that: among the 16 districts in Beijing, Chaoyang and Haidian districts have the highest level of safety resilience; the level of the degree of disaster tolerance among the multi-factors has the greatest impact on the level of urban safety resilience in Beijing; and the multifactorial comprehensive assessment model of urban resilience is able to reflect the urban resilience distribution, discover the weaknesses that exist in the development of urban safety and provide decision-making aids for the relevant city managers to carry out urban resilience construction.

Keywords: safe and resilient city; multi-factor; Beijing; TOPSIS; obstacle model (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2023
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