China Safety Science Journal ›› 2023, Vol. 33 ›› Issue (8): 198-204.doi: 10.16265/j.cnki.issn1003-3033.2023.08.0149

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Evaluation of urban resilience based on PSR model and information sensitivity: a case study of Beijing

WANG Qifei1(), ZHAO Yihan1, ZHANG Hui2, WANG Jian3,**(), WANG Yafei3   

  1. 1 School of Mechanical-Electronic and Automobile Engineering, Beijing University of Civil Engineering and Architecture, Beijing 102616, China
    2 Beijing Academy of Emergency Management Science and Technology, Beijing 101101, China
    3 Research Center of Urban Operation Safety, Beijing Academy of Emergency Management Science and Technology, Beijing 100035, China
  • Received:2023-02-13 Revised:2023-05-16 Online:2023-10-08 Published:2024-02-28
  • Contact: WANG Jian

Abstract:

In order to make a comprehensive and effective judgment on the development of urban resilience, it is essential to construct a scientific and reasonable evaluation index system of urban resilience. Based on the PSR model, this paper initially established the urban resilience evaluation index system covering 68 primary indicators, and the index system was optimized by information sensitivity and Pearson correlation analysis. Finally, the weight of each indicator was determined by CRITIC, and an evaluation model was developed using the comprehensive index method. Taking Beijing as an example, according to the data from 2010-2021, an index system with 31 indicators was obtained, and the urban resilience was evaluated and analyzed. The results show that urban resilience of Beijing has shown an overall upward trend from 2010-2021, with the index increasing from 0.436 7 in 2010 to 0.558 6 in 2021. The result shows the model can figure out the weak link in the city under emergency with the constructed model and evaluation index system, which is beneficial for the relevant departments to put forward the strengthening-resilience suggestions.

Key words: press-state-response (PSR) model, information sensitivity, urban resilience, evaluation index system, correlation analysis, criteria importance though inter-criteria correlation (CRITIC)