Abstract

With many people using subways at the same time, subway stations must be appropriately designed to allow people to move smoothly and safely during daily operation and emergency evacuation. The present study carries out an agent-based modeling (ABM) of people from trains and platforms in a typical subway station in normal and evacuation scenarios. Developed based on the NetLogo platform, the proposed model enables defining normal and emergency scenarios with realistic considerations of some critical parameters, including number of trains; number of passengers, stairs, ticket gates, exits; passenger destination choices; and possible delaying of exiting the train and station. Comparative studies of normal and emergency situations are conducted on a prototype subway station. Parametric investigations show different impacts of some key parameters on evacuation time and delay and provide some valuable insights for understanding the potential causes of delay of evacuations and possible improvements of the subway station design in terms of emergency response. By adopting site- and event-specific parameters of the station and emergency event, future customized analyses can be conducted based on the proposed model to help design and implement more optimized and tailored emergency response plans and srategies.

摘要

在许多人同时使用地铁的情况下，必须适当设计地铁站，以使人们在日常操作和紧急疏散期间能够平稳安全地行驶。本研究在正常和疏散情况下，对典型地铁站中火车和站台人员进行了基于代理的建模（ABM）。该模型基于NetLogo平台开发，能够通过考虑一些关键参数（包括列车数量）的实际考虑来定义正常和紧急情况。乘客，楼梯，检票口，出口的数量；旅客目的地选择；并可能会延迟离开火车和车站。在原型地铁站上进行了正常和紧急情况的比较研究。参数研究显示了一些关键参数对疏散时间和延误的不同影响，并为了解疏散延误的潜在原因以及在应急响应方面可能改善地铁站设计提供了一些有价值的见解。通过采用站点和突发事件的特定于站点和事件的参数，可以基于提议的模型进行将来的自定义分析，以帮助设计和实施更优化和量身定制的突发事件响应计划和策略。