Simulation method of evacuation in subway station fire under interaction of panic emotions and evacuation behavior
In order to improve the evacuation efficiency after a fire accident in subway station,and reduce the casualties and property losses,the dynamic change of individual panic emotions during evacuation was considered,the interaction between panic emotions and evacuation behavior was analyzed based on the cellular automaton model,and a simulation model of evacu-ation in subway station fire was constructed.Taking a dual-layer island platform station as an example,the influence of panic emotions on evacuation efficiency and exit selection was investigated.The results show that the panic emotions is one of the key factors in crowd evacuation,and mild panic can help shorten evacuation time,while excessive panic will slow down evacu-ation efficiency to some extent.The panic emotions has a significant influence on exit selection,and panic crowd present obvi-ous herd behavior in exit selection.The research results can provide reference for optimizing the emergency safety management of subway stations.
subway station fireevacuation behaviorpanic emotionsexit selectioncellular automata
NETL
NSTL
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