Lee Jeremy, Marinov Marin
EPS, Aston University, Birmingham, UK.
ESSCM, Aston University, Birmingham, UK.
Urban Rail Transit. 2022;8(2):99-120. doi: 10.1007/s40864-022-00167-w. Epub 2022 May 13.
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.
在新冠疫情期间,有人提出了一些方法来改善伯明翰新街火车站的人群管理。为了验证该车站当前的人群管理系统,本文研究了伯明翰新街火车站大厅的铁路客流量以及与之相关的乘客互动和排队现象,主要是在新冠疫情措施实施之前和实施期间,在售票机、办公室和闸机处的情况。使用基于事件的SIMUL8模拟建模软件包对车站大厅内的乘客行为进行了模拟。模拟了三种不同的场景,以分析新冠疫情之前和疫情期间的变化及影响。结果显示,由于新冠疫情,火车站内的乘客行为正在发生变化。具体而言,乘客在进入车站之前或进入车站时更倾向于使用智能手机或在线购买车票,以便能够以最短的排队时间通过车站大厅,避免接触车站内的共用设施,而没有车票的乘客则更有可能在车站排队购票。对于新冠疫情之前的情况,结果表明,即使售票机数量减少,车站内也不太可能出现过度拥挤的情况,因为模拟中的所有乘客中有80%在15分钟内完成了服务。然而,在新冠疫情措施实施期间,随着使用车站的乘客数量大幅下降,更多乘客使用智能手机和/或在线购买车票,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。模拟结果与预期情况相符;因此验证了模拟模型的有效性。总体而言,作为本研究的结果,提出了以下改善铁路客运站大厅人群管理的建议:鼓励乘客使用智能手机购票,拆除检票闸机并用传感器取而代之,并在车站主大厅提供单向客流系统。