Risk assessment of subway station fire by using a Bayesian network-based scenario evolution model

Risk assessment of subway station fire by using a Bayesian network-based scenario evolution model

Subway station fires frequently result in massive casualties, economic losses and even social panic due to the massive passenger flow, semiconfined space and limited conditions for escape and smoke emissions. The combination of different states of fire hazard factors increases the uncertainty and c...

Full description

Bibliographic Details
Main Authors: Xuewei Li, Jingfeng Yuan, Limao Zhang, Dujuan Yang
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2024-04-01
Series:Journal of Civil Engineering and Management
Subjects:
subway station
fire safety
scenario analysis
Bayesian network
deduction analysis
sensitivity analysis
Online Access:https://transport.vgtu.lt/index.php/JCEM/article/view/20846

Internet

https://transport.vgtu.lt/index.php/JCEM/article/view/20846

Similar Items