Metro station evacuation safety assessment considering emergency response

IF 1.3 4区 工程技术 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Simulation-Transactions of the Society for Modeling and Simulation International Pub Date : 2022-05-18 DOI:10.1177/00375497221095071
Haiquan Li, Yan Wang, Juncheng Jiang, Ru Zhou
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引用次数: 4

Abstract

The emergency response process will not start immediately in the initial stage of a subway accident, and information will not fully spread temporarily. Crowds in different regions receive different comprehensiveness of accident information. They will start evacuating at different times and at different desired speed states. Depending on this phenomenon, pedestrians were classified in simulation modeling. In addition, the different states of emergency gates, escalators, and automatic gate machines before and after the emergency response instruction were set up in the simulation. The impact of different emergency response times on evacuations was studied. The emergency response in advance did not make a significant promotion to evacuation efficiency, but delayed emergency response reduced it greatly. This work proposed an evacuation risk index (ERI) and maximum safe evacuation capacity in metro stations. The worst accident evacuation scenario can be obtained by calculating the ERI, and a metro station was evaluated as a case study. The comparison of the evaluation results of ERI and other methods shows that the conclusion is consistent, but ERI considers the accident location factor.
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考虑应急响应的地铁车站疏散安全评价
地铁事故发生初期,应急响应流程不会立即启动,信息也不会暂时充分传播。不同地区的人群接收到的事故信息的综合程度不同。他们将在不同的时间以不同的速度状态开始撤离。根据这一现象,在仿真建模中对行人进行分类。另外,在仿真中设置了应急门、自动扶梯、自动门机在应急响应指令下达前后的不同状态。研究了不同的应急响应时间对疏散的影响。提前应急响应对疏散效率没有显著的促进作用,而延迟应急响应则大大降低了疏散效率。提出了地铁车站疏散风险指数(ERI)和最大安全疏散能力。以某地铁车站为例,通过计算ERI得出最坏的事故疏散情景。对比ERI与其他方法的评价结果表明,结论一致,但ERI考虑了事故位置因素。
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来源期刊
CiteScore
3.50
自引率
31.20%
发文量
60
审稿时长
3 months
期刊介绍: SIMULATION is a peer-reviewed journal, which covers subjects including the modelling and simulation of: computer networking and communications, high performance computers, real-time systems, mobile and intelligent agents, simulation software, and language design, system engineering and design, aerospace, traffic systems, microelectronics, robotics, mechatronics, and air traffic and chemistry, physics, biology, medicine, biomedicine, sociology, and cognition.
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