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Evacuation Behavior in a Subway Train Emergency: A Video-based Analysis
Environment and Behavior ( IF 6.548 ) Pub Date : 2021-07-09 , DOI: 10.1177/00139165211031193
Richard Philpot 1 , Mark Levine 1
Affiliation  

How do people behave in the seconds after they become aware they have been caught up in a real-life transport emergency? This paper presents the first micro-behavioral, video-based analysis of the behavior of passengers during a small explosion and subsequent fire on a subway train. We analyzed the behavior of 40 passengers present in the same carriage as the explosion. We documented the first action of the passengers following the onset of the emergency and described evidence of pro- and anti-social behavior. Passengers’ first actions varied widely. Moreover, anti-social behavior was rare and displays of pro-sociality were more common. In a quantitative analysis, we examined spatial clustering of running behavior and patterns in passenger exit choices. We found both homogeneity and heterogeneity in the running behavior and exiting choices of passengers. We discuss the implications of these findings for the mass emergency literature and for evacuation modeling.



中文翻译:

地铁列车紧急情况下的疏散行为:基于视频的分析

人们在意识到自己被卷入现实生活中的交通紧急情况后的几秒钟内会如何表现?本文首次对地铁列车发生小爆炸和随后火灾期间乘客的行为进行了基于视频的微行为分析。我们分析了与爆炸发生在同一节车厢内的 40 名乘客的行为。我们记录了紧急情况发生后乘客的第一次行动,并描述了亲社会和反社会行为的证据。乘客的第一个动作千差万别。此外,反社会行为很少见,亲社会表现更常见。在定量分析中,我们检查了乘客出口选择中跑步行为和模式的空间聚类。我们发现乘客的跑步行为和退出选择存在同质性和异质性。我们讨论了这些发现对大规模应急文献和疏散建模的影响。

更新日期:2021-07-12
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