Print Email Facebook Twitter Modelling travel time reliability in public transport route choice behaviour Title Modelling travel time reliability in public transport route choice behaviour Author Swierstra, A.B. (TU Delft Integral Design & Management) van Nes, R. (TU Delft Transport and Planning) Molin, E.J.E. (TU Delft Transport and Logistics) Date 2017 Abstract 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. Subject Public transportRoute choice behaviorTravel time reliability To reference this document use: http://resolver.tudelft.nl/uuid:ab1c17bd-5c7a-4039-a818-f7c4faec57dc ISSN 1567-7141 Source European Journal of Transport and Infrastructure Research, 17 (2), 263-278 Part of collection Institutional Repository Document type journal article Rights © 2017 A.B. Swierstra, R. van Nes, E.J.E. Molin Files PDF 2017_02_04_Modelling_trav ... bility.pdf 618.05 KB Close viewer /islandora/object/uuid:ab1c17bd-5c7a-4039-a818-f7c4faec57dc/datastream/OBJ/view