TY  - JOUR
PY  - 2023//
TI  - Simulation analysis of evacuation processes in a subway station based on multi-disaster coupling scenarios
JO  - International journal of disaster risk reduction
A1  - Shan, Siqing
A1  - Guo, Xiaoshuang
A1  - Wei, Zhenyu
A1  - Sun, Weize
A1  - Zheng, Haitao
A1  - Pan, Hongfeng
A1  - Lin, Jing
SP  - e103998
EP  - e103998
VL  - 96
IS  - 
N2  - OBJECTIVE  This study aimed to improve knowledge on ways to effectively solve problems associated with subway station emergencies and provide methodological guidance for safety management.   Process and method  A real case was considered--the Nanning Chaoyang Square subway station--and the AnyLogic simulation modeling software was used to build a simulation model of the evacuation process in the station in different disaster and disaster coupling scenarios. In particular, the characteristics of various disaster scenarios and the coupling effect between multiple disasters were analyzed, the social force model was improved during the analysis of pedestrian movement, and the key factors affecting the evacuation process in fire outbreak, flooding, and fire and flood coupling scenarios were analyzed. The number of evacuated pedestrians and evacuation times in each scenario were compared for analysis, to propose targeted suggestions.   Results  The impact of fire products on pedestrians increased rapidly during the fire growth stage. When a fire or flood occurred on Side A of the station hall floor, the impact on the evacuation capacity was the greatest. The results support the claim that different multi-disaster coupling scenarios have different effects on evacuation risk owing to the influence of pedestrian evacuation strategies.<p />  <p>Language: en</p>
LA  - en
SN  - 2212-4209
UR  - http://dx.doi.org/10.1016/j.ijdrr.2023.103998
ID  - ref1
ER  -