Research on evacuation risk quantization and classification for subway passengers based on Pathfinder

doi:10.16265/j.cnki.issn1003-3033.2018.11.028

Abstract

Abstract: To control reasonably the number of passengers and avoid crowded stamped accidents, evacuation risk was classified into four levels according to evacuation time in the relevant standards. A simulation model was built using Pathfinder simulation software. And according to different subway carrying rates, evacuation process simulations were carried out. The numbers and the densities of evacuated passengers on the subway platform corresponding to the four risk levels were obtained, and the evacuation risk of the subway was quantified and classified. The functional relationships between the subway carrying rate and the crowd density on the subway platform under different risk levels were analyzed according to data on Beijing metro. The results show that there is a positive correlation between the evacuation risk level and both the crowd density on the platform and the carrying rate of the subway, and that when evacuation time is fixed, there is a quadratic polynomial relationships between the subway carrying rate and the crowd density.

Key words: crowd density, subway carrying rate, safe evacuation, Pathfinder, risk classification

CLC Number:

X928.03

SUN Guilei, WANG Yaqi, ZHAO Xinyuan, WAN Zijie, LIU Qian, JI Xuewei. Research on evacuation risk quantization and classification for subway passengers based on Pathfinder[J]. China Safety Science Journal, 2018, 28(11): 176-181.

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