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. 2022;8(2):99-120.
doi: 10.1007/s40864-022-00167-w. Epub 2022 May 13.

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

Affiliations

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

Jeremy Lee et al. Urban Rail Transit. 2022.

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.

Keywords: COVID-19 pandemic; Concourse; Crowd management; Event-based simulation models; Passenger behaviour; Railway passenger station; Scenarios; Ticket facilities.

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Figures

Fig. 1
Fig. 1
Birmingham New Street station design layout, Network Rail [19]
Fig. 2
Fig. 2
Simulation model of crowd movements to analyse the effectiveness of crowd management, using SIMUL8’s building blocks
Fig. 3
Fig. 3
Stages of simulation model development
Fig. 4
Fig. 4
Labelling of ticket passenger types
Fig. 5
Fig. 5
Start point properties for the Stephenson St entrance (advance tickets)
Fig. 6
Fig. 6
Configuring the label value for the start point of passengers with advance tickets within the actions setting
Fig. 7
Fig. 7
Routing out option for a ticket gate as an activity point
Fig. 8
Fig. 8
General specification for each escalator model, Stannah [27]

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