Modelling travel time reliability in public transport route choice behaviour

The implementation of travel time reliability (TTR) in route choice behaviour is still not very common in transport models, especially not in a public transport context. The reasons probably are that it is difficult to measure and that there is no agreement how it best can be represented in utility...

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Main Authors: Andele B. Swierstra, Rob van Nes, Eric J.E. Molin
Format: Article
Language:English
Published: TU Delft Open 2017-04-01
Series:European Journal of Transport and Infrastructure Research
Online Access:https://journals.open.tudelft.nl/ejtir/article/view/3194
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spelling doaj-cb9601ead72343fea5d38501359175fa2021-07-26T08:34:33ZengTU Delft OpenEuropean Journal of Transport and Infrastructure Research1567-71412017-04-0117210.18757/ejtir.2017.17.2.31942806Modelling travel time reliability in public transport route choice behaviourAndele B. Swierstra0Rob van Nes1Eric J.E. Molin2PanteiaDelft University of TechnologyDelft University of TechnologyThe implementation of travel time reliability (TTR) in route choice behaviour is still not very common in transport models, especially not in a public transport context. The reasons probably are that it is difficult to measure and that there is no agreement how it best can be represented in utility functions. Typically, it is represented by a standard deviation, however, particularly in public transport choices it is more likely that travellers think about the consequences of unreliability in travel times in terms of buffer times. This paper contributes to the literature by comparing five different model specifications of TTR in public transport route choices that are either based on standard deviations or on buffer time indicators. The models are estimated from choices observed in a stated choice experiment. To address heterogeneity, a latent class model is estimated. The results suggest that the reliability buffer time indicator outperforms the standard deviation indicator. Furthermore, the reliability buffer time parameter is only statistically significant in two of the four classes. The other two classes are particularly sensitive to making transfers and to low frequencies of public transport services, suggesting different strategies to deal with TTR.https://journals.open.tudelft.nl/ejtir/article/view/3194
collection DOAJ
language English
format Article
sources DOAJ
author Andele B. Swierstra
Rob van Nes
Eric J.E. Molin
spellingShingle Andele B. Swierstra
Rob van Nes
Eric J.E. Molin
Modelling travel time reliability in public transport route choice behaviour
European Journal of Transport and Infrastructure Research
author_facet Andele B. Swierstra
Rob van Nes
Eric J.E. Molin
author_sort Andele B. Swierstra
title Modelling travel time reliability in public transport route choice behaviour
title_short Modelling travel time reliability in public transport route choice behaviour
title_full Modelling travel time reliability in public transport route choice behaviour
title_fullStr Modelling travel time reliability in public transport route choice behaviour
title_full_unstemmed Modelling travel time reliability in public transport route choice behaviour
title_sort modelling travel time reliability in public transport route choice behaviour
publisher TU Delft Open
series European Journal of Transport and Infrastructure Research
issn 1567-7141
publishDate 2017-04-01
description The implementation of travel time reliability (TTR) in route choice behaviour is still not very common in transport models, especially not in a public transport context. The reasons probably are that it is difficult to measure and that there is no agreement how it best can be represented in utility functions. Typically, it is represented by a standard deviation, however, particularly in public transport choices it is more likely that travellers think about the consequences of unreliability in travel times in terms of buffer times. This paper contributes to the literature by comparing five different model specifications of TTR in public transport route choices that are either based on standard deviations or on buffer time indicators. The models are estimated from choices observed in a stated choice experiment. To address heterogeneity, a latent class model is estimated. The results suggest that the reliability buffer time indicator outperforms the standard deviation indicator. Furthermore, the reliability buffer time parameter is only statistically significant in two of the four classes. The other two classes are particularly sensitive to making transfers and to low frequencies of public transport services, suggesting different strategies to deal with TTR.
url https://journals.open.tudelft.nl/ejtir/article/view/3194
work_keys_str_mv AT andelebswierstra modellingtraveltimereliabilityinpublictransportroutechoicebehaviour
AT robvannes modellingtraveltimereliabilityinpublictransportroutechoicebehaviour
AT ericjemolin modellingtraveltimereliabilityinpublictransportroutechoicebehaviour
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