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A joint mode-transit service choice model incorporating the effect of regional transport service timetables

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  • Cascetta, Ennio
  • Papola, Andrea

Abstract

Transit systems offer substantially different services in urban and inter-urban areas; this usually leads to different assumptions about user behaviour in path choice modelling. These differences have not yet been recognised in mode choice modelling. Consistent with the above, in this paper we propose a joint mode-transit service choice model where the elementary alternatives are specific services of the available transit modes together with the private car. Among the attributes of transit services we propose inclusion of the difference between the desired arrival time of the traveller and the arrival time of the specific service (early/late arrival penalty), instead of service/line frequency. Different utility specifications were tested and their results compared for different correlation structures (both nested and cross-nested). In general a high significance was observed in the case of the early/late arrival penalty parameters, indicating the importance of such factors in mode choice.

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  • Cascetta, Ennio & Papola, Andrea, 2003. "A joint mode-transit service choice model incorporating the effect of regional transport service timetables," Transportation Research Part B: Methodological, Elsevier, vol. 37(7), pages 595-614, August.
    • Handle: RePEc:eee:transb:v:37:y:2003:i:7:p:595-614
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    References listed on IDEAS

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    1. Spiess, Heinz & Florian, Michael, 1989. "Optimal strategies: A new assignment model for transit networks," Transportation Research Part B: Methodological, Elsevier, vol. 23(2), pages 83-102, April.
    2. H C W L Williams, 1977. "On the Formation of Travel Demand Models and Economic Evaluation Measures of User Benefit," Environment and Planning A, , vol. 9(3), pages 285-344, March.
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    Cited by:

    1. Makoto Tsukai & Makoto Okumura, 2005. "Spatial externality of railway service improvement - To understand the Japanese inter-regional transportation service improvements," ERSA conference papers ersa05p416, European Regional Science Association.
    2. Yin-Yen Tseng, 2004. "A meta-analysis of travel time reliability," ERSA conference papers ersa04p415, European Regional Science Association.
    3. Cascetta, Ennio & Cartenì, Armando, 2014. "The hedonic value of railways terminals. A quantitative analysis of the impact of stations quality on travellers behaviour," Transportation Research Part A: Policy and Practice, Elsevier, vol. 61(C), pages 41-52.
    4. Cascetta, Ennio & Papola, Andrea & Pagliara, Francesca & Marzano, Vittorio, 2011. "Analysis of mobility impacts of the high speed Rome–Naples rail link using withinday dynamic mode service choice models," Journal of Transport Geography, Elsevier, vol. 19(4), pages 635-643.
    5. Papola, Andrea, 2004. "Some developments on the cross-nested logit model," Transportation Research Part B: Methodological, Elsevier, vol. 38(9), pages 833-851, November.
    6. Tian, Qiong & Liu, Peng & Ong, Ghim Ping & Huang, Hai-Jun, 2021. "Morning commuting pattern and crowding pricing in a many-to-one public transit system with heterogeneous users," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 145(C).
    7. De Witte, Astrid & Hollevoet, Joachim & Dobruszkes, Frédéric & Hubert, Michel & Macharis, Cathy, 2013. "Linking modal choice to motility: A comprehensive review," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 329-341.

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