Analysis of Rail Passenger Flow in a Rail Station Concourse Prior to and During the COVID-19 Pandemic Using Event-Based Simulation Models and Scenarios.

Q4 Arts and Humanities Rechtsgeschichte Pub Date : 2022-01-01 Epub Date: 2022-05-13 DOI:10.1007/s40864-022-00167-w
Jeremy Lee, Marin Marinov
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Abstract

During COVID-19, certain means were proposed to improve crowd management in the Birmingham New Street railway station. To validate the current system of crowd management in the station, this paper examines the rail passenger flow in the concourse of the Birmingham New Street railway station and the passenger interactions and queueing phenomena associated with it, mainly at the ticket machines, offices and gates, prior to and during the implementation of COVID-19 measures. The passenger behaviour in the concourse of the station was simulated using the SIMUL8 event-based simulation modelling package. Three different scenarios were modelled to analyse the changes and impacts from pre-COVID-19 and within the COVID-19 context. The results revealed that passenger behaviour in railway stations is changing due to COVID-19. Specifically, passengers are more likely to buy tickets using their smartphones or online prior to or whilst entering the station so that they can go through the station concourse with minimal queuing times and avoid contact with a facility of common use at the station, whereas those without tickets are more likely to be in a queue to buy their tickets in the station. For pre-COVID, the results showed that even with a reduced number of ticket machines, overcrowding inside the station was unlikely to occur, as 80% of all passengers in the simulation completed service within a 15-minute time frame. However, during implementation of COVID-19 measures, as the number of passengers using the station dropped significantly and more passengers bought their tickets using their smartphones and/or online, queueing times were also shorter, and thus passengers spent less time in the system. The simulation results were in accordance with the expected practice; hence the effectiveness of the simulation model was verified. Overall, as a result of this study, the following suggestions to improve crowd management in a railway passenger station concourse are proposed: encourage passengers to purchase tickets on their smartphones, remove ticket gates and replace them with sensors, and provide a one-way passenger flow system in the main concourse of the station.

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利用基于事件的模拟模型和情景分析 COVID-19 大流行之前和期间火车站大厅的铁路客流。
在 COVID-19 期间,提出了一些改善伯明翰新街火车站人流管理的方法。为了验证该火车站目前的人流管理系统,本文研究了 COVID-19 措施实施之前和实施期间伯明翰新街火车站大厅的铁路客流以及与之相关的乘客互动和排队现象,主要是在售票机、办公室和闸机处。车站大厅的乘客行为是通过 SIMUL8 事件模拟建模软件包进行模拟的。模拟了三种不同的情景,以分析 COVID-19 实施前和 COVID-19 实施期间的变化和影响。结果显示,由于 COVID-19,火车站的乘客行为正在发生变化。具体而言,乘客更倾向于在进站前或进站时使用智能手机或在线购票,这样他们可以在最短的排队时间内通过车站候车厅,避免接触车站内的常用设施,而那些没有车票的乘客则更倾向于在车站内排队购票。在 COVID 实施前,模拟结果显示,即使售票机数量减少,车站内也不太可能出现拥挤现象,因为模拟中 80% 的乘客都在 15 分钟内完成了乘车。然而,在实施 COVID-19 措施期间,由于使用车站的乘客数量大幅下降,更多乘客使用智能手机和/或在线购票,排队时间也缩短了,因此乘客在系统中花费的时间也减少了。模拟结果与预期实践相符,因此验证了模拟模型的有效性。总之,本研究提出了以下建议,以改善铁路客运站大厅的人群管理:鼓励乘客使用智能手机购票;拆除检票口并用传感器取而代之;在车站主大厅提供单向人流系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Rechtsgeschichte
Rechtsgeschichte Arts and Humanities-History
CiteScore
0.10
自引率
0.00%
发文量
60
审稿时长
18 weeks
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