Abstract
Subway station emergencies are gradually increasing in China. The aim of this research is to study the effects of “Dist”, “Pedestrian flow” and “Crowd density” on the heterogeneity of passengers’ decision-making preference and explore the relationship between heterogeneity and personality. Firstly, a questionnaire of 20 emergency evacuation scenarios, that includes the Eysenck Personality Questionnaire, is designed. Secondly, the heterogeneity of passengers’ decision preference is quantified by the random parameter logit model. Finally, personality traits and influencing factors are used as abscissa and ordinate respectively, to study the relationship between personality traits and preference heterogeneity. The results show that the coefficients of “Dist”, “Pedestrian flow” and “Crowd density” are −0.101, 0.236 and −0.442 respectively, which are statistically significant. The proportion of extroverted passengers of the exit is 9% higher than that of introverted passengers when “Pedestrian flow” of the exit is greater than the average value, while the proportion of introverted passengers is 7% higher than that of extroverted passengers when “Crowd density” is smaller than the average value. The conclusion is that the three influence factors are random variables, and “Dist” shows the lowest level of heterogeneity. Extroverted passengers are more likely to follow a large crowd for evacuation, but introverted passengers are more likely to avoid crowded exits.
Highlights
Subway has become one of the most popular modes of transportation due to its convenience
According to the research about the random parameter logit model in [36], the data were analyzed according to the proposed process
It was assumed that the variables “Dist”, “Pedestrian flow” and “Crowd density” are random coefficients
Summary
Subway has become one of the most popular modes of transportation due to its convenience. It is very easy to cause casualties of passengers in case of an emergency due to the high sealing and independence of subway stations. Some emergencies lead to crowd evacuation, such as fire, terrorist attacks and so on. In recent years, the emergence of COVID-19 has caused the problem of crowd evacuation in the high sealing and independence places. There are many factors that affect passengers’ evacuation decision-making, which are covered in many literature studies [3,4,5]. These studies do not involve quantitative analysis [6,7,8,9]. There is little research on the relationship between evacuation behavior and personality traits of passengers
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