Abstract

The Spring Festival is the most important festival in China. How can passengers go home smoothly and quickly during the Spring Festival travel rush, especially when emergencies of terrible winter weather happen? By modifying the social force model, we simulated the pedestrian flow in a station hall. The simulation revealed casualties happened when passengers escaped from panic induced by crowd turbulence. The results suggest that passenger numbers, ticket checking patterns, baggage volumes, and anxiety can affect the speed of passing through the waiting corridor. Our approach is meaningful in understanding the feature of a crowd moving and can be served to reproduce mass events. Therefore, it not only develops a realistic modeling of pedestrian flow but also is important for a better preparation of emergency management.

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