Citation

Zhao L, Wang Q. China Saf. Sci. J. 2022; 32(10): 186-192.

Copyright

(Copyright © 2022, China Occupational Safety and Health Association, Publisher Gai Xue bao)

DOI

10.16265/j.cnki.issn1003-3033.2022.10.2221

PMID

unavailable

Abstract

In order to prevent subway safety accidents under storm disturbances, an FCM⁃based root cause analysis method was proposed to assess subway system vulnerability. A causal model consisting of six concepts of human behavior, equipment and facilities, safety management, emergency rescue, environment and vulnerability was constructed to simulate subway system vulnerability within the FCM framework using text mining and expert interviews. The results show that all five factors are strongly correlated with subway system vulnerability, and their correlation magnitudes are safety management > human behavior > emergency rescue > equipment and facilities > environment; equipment and facilities are the most suspicious causes of subway system vulnerability, in addition, attention should be paid to monitoring the emergency rescue reserve and subway operation environment; subway system vulnerability is most sensitive to changes in safety management and personnel behavior. This method can be applied to the prevention of subway safety accidents, so as to improve the safety management of the subway system. © 2022 China Safety Science Journal. All rights reserved.

Language: zh