China Safety Science Journal ›› 2025, Vol. 35 ›› Issue (1): 154-162.doi: 10.16265/j.cnki.issn1003-3033.2025.01.1377

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Resilience assessment of fire safety in subway stations based on WSR-extension cloud theory

TANG Qinghui1,2(), LIU Shuo1, ZHANG Jin3   

  1. 1 School of Management Engineering, Qingdao University of Technology, Qingdao 266520, China
    2 University Research Center for Smart City Construction and Management of Shandong Province, Qingdao 266520, China
    3 School of Civil Engineering,Qingdao University of Technology, Qingdao Shandong 266520,China
  • Received:2024-08-11 Revised:2024-10-17 Online:2025-01-28 Published:2025-07-28

Abstract:

In order to solve the problems of ambiguity and randomness in the process of fire safety resilience assessment of subway stations, and then effectively improve the level of fire safety resilience of subway stations, the fire safety resilience assessment model for subway stations based on WSR- extension cloud theory was constructed. First, based on WSR methodology, the factors affecting the fire safety resilience of subway stations were analyzed around "physical", "matter", and "human". Combined with the characterization of the resilience absorption, resistance, recovery and adaptive ability, the fire safety resilience assessment index system of subway stations was established in five aspects, namely, equipment factors, environmental factors, organization and management, material and technology, and personnel factors. Second, based on the blind number theory to construct the blind number matrix and calculate the comprehensive score of qualitative indexes, the fire safety resilience level of subway stations is derived by using the theory of extension cloud theory. Finally, a station of the Qingdao subway was used as an example to carry out the example analysis. The results show that the subway station fire safety resilience level of Ⅳ, in the higher resilience level, the credibility factor = 0.003 4 <0.01, indicating that the assessment results have a high degree of credibility. The WSR-extension cloud theory assessment model can provide a theoretical basis for the fire safety resilience assessment of subway stations.

Key words: Wuli-Shili-Renli(WSR) methodology, extension cloud theory, subway stations, fire safety resilience assessment, blind number theory

CLC Number: