Passenger trains represent a challenging environment in emergencies, with specific evacuation conditions resulting from the typical layout and interior design inherent to public transportation vehicles. This paper describes a dataset obtained in a full-scale controlled experiment emulating the emergency evacuation of a double-deck electric unit railcar carried out in Prague in 2018. 15 evacuation trials involving 91 participants were conducted under various evacuation scenarios considering different compositions of passenger crowd, exit widths, and exit types (e.g. egress to a high platform, to an open rail line using stairs, and a 750 mm jump without any supporting equipment). The study's main goals were to collect experimental data on the movement conditions in the railcar and to study the impact of various boundary conditions on evacuation process and total evacuation time. Movement characteristics (exit flows, speeds) and human behaviour (pre-movement activities, exiting behaviours) were also analysed. The data obtained was used to validate and adjust a Pathfinder model to capture important aspects of evacuation from the railcar. Furthermore, a series of simulations using this model was performed to provide sensitivity analysis of the influence of crowd composition, exit width, and exit type on total evacuation time. As a key finding, we can conclude that for the case of a standard exit path (platform or stairs) the width of the main exit had the greatest impact on total evacuation time, however, crowd composition played the prevailing role in evacuation scenarios involving a jump.
翻译:2018年在布拉格举行的全面有控制的实验模拟了两层电动车的紧急疏散,在各种疏散情景下进行了15次疏散试验,涉及91名参与者,其中考虑到乘客人群、出入口宽度和出入口类型的不同构成,考虑到乘客人群、出入口和出入口类型的不同构成,对涉及91人的各种疏散情形进行了15次疏散试验(例如,进入高平台、使用楼梯的开放式铁路线、在没有任何辅助设备的情况下跳跃750毫米),研究的主要目标是收集关于铁路车辆移动条件的实验数据,并研究各种边界条件对疏散进程和全部疏散时间的影响;还分析了移动特征(出行流量、速度)和人类行为(前行活动、退出行为),所获取的数据用于验证和调整“路前路”模型,以了解从铁路车厢撤离的重要方面;此外,利用这一模型进行了一系列模拟,以提供对人群构成、出入口宽度和撤离时间对全面疏散过程的影响的敏感度分析;还分析了移动特征(外行、速度)和人类行为(前行前行活动、退出行为),从而得出了主要撤离前方程的情景。