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Understanding variability, habit and the effect of long period activity plan in modal choices: a day to day, week to week analysis on panel data

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  • Elisabetta Cherchi
  • Cinzia Cirillo

Abstract

Understanding variability in individual behaviour is crucial for the comprehension of travel patterns and for the development and evaluation of planning policies. But, with only one notable exception, there are no studies on the intrinsic variability in the individual preferences for mode choices in absence of external changes in the transport infrastructures. This requires using continuous panel data. Few papers have studied mode choice with continuous panel data but mainly focused on the panel correlation. In this work we use a six-week travel diary survey to study the intrinsic variability in the individual preferences for mode choices, the effect of long period plans and habitual behaviour in the daily mode choices. Mixed logit models are estimated that account for the above effects as well as for systematic and random heterogeneity over individual preferences and responses. We also account for correlation over several time periods. Our results suggest that individual tastes for time and cost are fairly stable but there is a significant systematic and random heterogeneity around these mean values and in the preferences for the different alternatives. We found that there is a strong inertia effect in mode choice that increases with (or is reinforced by) the number of time the same tour is repeated. The sequence of mode choice made is influenced by the duration of the activity and the weekly structure of the activities Copyright Springer Science+Business Media New York 2014

Suggested Citation

  • Elisabetta Cherchi & Cinzia Cirillo, 2014. "Understanding variability, habit and the effect of long period activity plan in modal choices: a day to day, week to week analysis on panel data," Transportation, Springer, vol. 41(6), pages 1245-1262, November.
    • Handle: RePEc:kap:transp:v:41:y:2014:i:6:p:1245-1262
    DOI: 10.1007/s11116-014-9549-y
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    References listed on IDEAS

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    1. Schmid, Basil & Jokubauskaite, Simona & Aschauer, Florian & Peer, Stefanie & Hössinger, Reinhard & Gerike, Regine & Jara-Diaz, Sergio R. & Axhausen, Kay W., 2019. "A pooled RP/SP mode, route and destination choice model to investigate mode and user-type effects in the value of travel time savings," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 262-294.
    2. González, Rosa Marina & Marrero, Ángel Simón & Cherchi, Elisabetta, 2017. "Testing for inertia effect when a new tram is implemented," Transportation Research Part A: Policy and Practice, Elsevier, vol. 98(C), pages 150-159.
    3. Crawford, F. & Watling, D.P. & Connors, R.D., 2018. "Identifying road user classes based on repeated trip behaviour using Bluetooth data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 55-74.
    4. Jesper Bláfoss Ingvardson & Sigal Kaplan & João de Abreu e Silva & Floridea Ciommo & Yoram Shiftan & Otto Anker Nielsen, 2020. "Existence, relatedness and growth needs as mediators between mode choice and travel satisfaction: evidence from Denmark," Transportation, Springer, vol. 47(1), pages 337-358, February.
    5. Kun Gao & Minhua Shao & Kay W. Axhausen & Lijun Sun & Huizhao Tu & Yihong Wang, 2022. "Inertia effects of past behavior in commuting modal shift behavior: interactions, variations and implications for demand estimation," Transportation, Springer, vol. 49(4), pages 1063-1097, August.
    6. Klinger, Thomas, 2017. "Moving from monomodality to multimodality? Changes in mode choice of new residents," Transportation Research Part A: Policy and Practice, Elsevier, vol. 104(C), pages 221-237.
    7. Cherchi, Elisabetta & Cirillo, Cinzia & Ortúzar, Juan de Dios, 2017. "Modelling correlation patterns in mode choice models estimated on multiday travel data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 96(C), pages 146-153.
    8. Kazagli, Evanthia & de Lapparent, Matthieu, 2023. "A discrete choice modeling framework of heterogenous decision rules accounting for non-trading behavior," Journal of choice modelling, Elsevier, vol. 48(C).
    9. Thomas, Tom & La Paix Puello, Lissy & Geurs, Karst, 2019. "Intrapersonal mode choice variation: Evidence from a four-week smartphone-based travel survey in the Netherlands," Journal of Transport Geography, Elsevier, vol. 76(C), pages 287-300.
    10. Nursitihazlin Ahmad Termida & Yusak O. Susilo & Joel P. Franklin, 2016. "Examining the effects of out-of-home and in-home constraints on leisure activity participation in different seasons of the year," Transportation, Springer, vol. 43(6), pages 997-1021, November.
    11. Nan Ye & Linjie Gao & Zhicai Juan & Anning Ni, 2018. "Are People from Households with Children More Likely to Travel by Car? An Empirical Investigation of Individual Travel Mode Choices in Shanghai, China," Sustainability, MDPI, vol. 10(12), pages 1-14, December.
    12. Pan, Xiaofeng & Rasouli, Soora & Timmermans, Harry, 2019. "Modeling social influence using sequential stated adaptation experiments: A study of city trip itinerary choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 652-672.
    13. Thorhauge, Mikkel & Kassahun, Habtamu Tilahun & Cherchi, Elisabetta & Haustein, Sonja, 2020. "Mobility needs, activity patterns and activity flexibility: How subjective and objective constraints influence mode choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 139(C), pages 255-272.
    14. Sottile, Eleonora & Tuveri, Giovanni & Piras, Francesco & Meloni, Italo, 2022. "Modelling commuting tours versus non-commuting tours for university students. A panel data analysis from different contexts," Transport Policy, Elsevier, vol. 118(C), pages 56-67.

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