Heterogeneity in route choice behaviour during unplanned train disruptions considering the possibility of teleworking

• An SP experiment is used to study travel behavior during train disruptions. • Introducing teleworking leads to different travel behaviour during disruptions. • Experiencing disruptions en-route decreases the likelihood of returning home. • Ability to telework increases the likelihood of returning home during disruptions. • Non-teleworkers are likely to reroute if they trust provided information. Unplanned train disruptions are a source of passenger dissatisfaction because they are often accompanied by overcrowding and lack of information. To better accommodate passengers during disruptions and preventing travellers from switching to other less sustainable modes of transport, mitigating control strategies can be applied by railway operators. This however requires predicted passenger flows over all available travel options as an input. Due to the COVID-19 pandemic these passenger flows have becomes less predictable, as many travellers have gained an additional feasible alternative to cope with unplanned disruptions on outbound commuter trips − they may return home and start teleworking. Because this travel option is only available to teleworkers and now utilized more than before the COVID-19 pandemic, heterogeneity in route choice behaviour has increased. To fill this knowledge gap and provide predictions of passenger flows, an online survey containing a labelled stated choice experiment was carried out among Dutch train commuters. Consequently, a latent class choice model was estimated to investigate the influence of disruption characteristics, teleworking, COVID-19 risk perception and information provision on travel behaviour during train disruptions in the Netherlands and uncover heterogeneity in behaviour. Our results indicate that the strongest predictors of route choice behaviour are the moment of discovering the disruption, the disruption length and job characteristics. Uncovering four latent classes shows the different valuations of crowding, waiting times and additional travel times among commuters. Commuters with the option to telework are more likely to return back home during disruptions as well as commuters who are sceptic towards the provided information and those who are still conscious of COVID-19. Commuters who cannot telework and trust the provided information are more likely to reroute within the train network whereas commuters who cannot telework and do not trust the provided information are more likely to wait for the disrupted services to resume.

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Publication Details

Journal
Transportation Research Part A Policy and Practice
Published
2025-10-29
DOI
https://doi.org/10.1016/j.tra.2025.104708
Primary Topic
Transportation Planning and Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

Heterogeneity in route choice behaviour during unplanned train disruptions considering the possibility of teleworking

Menno de Bruyn, Niels van Oort, Eric Molin, Nejc Geržinič et al.
Transportation Research Part A Policy and Practice
Transportation Planning and Optimization
article

Heterogeneity in route choice behaviour during unplanned train disruptions considering the possibility of teleworking

Menno de Bruyn, Niels van Oort, Eric Molin, Nejc Geržinič, J. Bickel
article en

Abstract

• An SP experiment is used to study travel behavior during train disruptions. • Introducing teleworking leads to different travel behaviour during disruptions. • Experiencing disruptions en-route decreases the likelihood of returning home. • Ability to telework increases the likelihood of returning home during disruptions. • Non-teleworkers are likely to reroute if they trust provided information. Unplanned train disruptions are a source of passenger dissatisfaction because they are often accompanied by overcrowding and lack of information. To better accommodate passengers during disruptions and preventing travellers from switching to other less sustainable modes of transport, mitigating control strategies can be applied by railway operators. This however requires predicted passenger flows over all available travel options as an input. Due to the COVID-19 pandemic these passenger flows have becomes less predictable, as many travellers have gained an additional feasible alternative to cope with unplanned disruptions on outbound commuter trips − they may return home and start teleworking. Because this travel option is only available to teleworkers and now utilized more than before the COVID-19 pandemic, heterogeneity in route choice behaviour has increased. To fill this knowledge gap and provide predictions of passenger flows, an online survey containing a labelled stated choice experiment was carried out among Dutch train commuters. Consequently, a latent class choice model was estimated to investigate the influence of disruption characteristics, teleworking, COVID-19 risk perception and information provision on travel behaviour during train disruptions in the Netherlands and uncover heterogeneity in behaviour. Our results indicate that the strongest predictors of route choice behaviour are the moment of discovering the disruption, the disruption length and job characteristics. Uncovering four latent classes shows the different valuations of crowding, waiting times and additional travel times among commuters. Commuters with the option to telework are more likely to return back home during disruptions as well as commuters who are sceptic towards the provided information and those who are still conscious of COVID-19. Commuters who cannot telework and trust the provided information are more likely to reroute within the train network whereas commuters who cannot telework and do not trust the provided information are more likely to wait for the disrupted services to resume.

Transportation Research Part A Policy and PracticeVol. 203
Nederlandse Spoorwegen (NL), Delft University of Technology (NL)
Openalex Percentile: Top 68%
Transportation Planning and Optimization
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