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Fire is one of the key risk factors in subway operation. To analyze the stability of the subway station fire system, this chapter selects 18 disaster-causing factors from four perspectives: personnel, equipment and facilities, environment, and management. Then, the analytic network process (ANP) grey clustering analysis method is used to evaluate the vulnerability level of the subway station fire system. Finally, a case study of a subway station in Hefei is conducted to verify the effectiveness and practicality of the assessment method.

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Vulnerability Assessment of Subway Station Fire System Based on ANP-Grey Clustering Analysis

  • 会议论文

  • 发表日期：

    2026年

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  • Suping Gong,
  • Yanmei Wang,
  • Xinyu Cao

摘要

Fire is one of the key risk factors in subway operation. To analyze the stability of the subway station fire system, this chapter selects 18 disaster-causing factors from four perspectives: personnel, equipment and facilities, environment, and management. Then, the analytic network process (ANP) grey clustering analysis method is used to evaluate the vulnerability level of the subway station fire system. Finally, a case study of a subway station in Hefei is conducted to verify the effectiveness and practicality of the assessment method.