Analysis of the Risk Assessment of Subway Stampede

Abstract

On the basis of the subway crowded stampede data, it is analyzed that the excessive crowd density in underground relatively closed space is one of the reasons for the subway accidents. The Beijing metro passenger flow data was introduced, and the population density in the subway station was taken as the fundamental starting point. The risk matrix of subway stampede accidents was constructed based on the human body size of Chinese adults, and the risk quantification was established. Using the data of the early peak passenger flow of Xizhimen station, the pedestrian speed slowing area is proposed as the effective area for the subway crowded stampede. The area density and passenger risk data are used to calculate the crowd density value of the subway station and the risk grading, and the risk level of the Xizhimen station is calculated. The crowded stampede accident in the subway at Beijing Zoo station is cited to build risk grating for example. The calculated results are in line with the graded risk level, which verified that the accident of Beijing Zoo station was not an accidental result.