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Evidence on the distribution of values of travel time savings from a six-week diary

  • Cirillo, C.
  • Axhausen, K.W.
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    This paper presents the results of a series of mixed logit models focusing on the distribution of the values of travel time savings. The parametric assumptions include both normal and various bounded distributions derived from the normal (log-normal, Johnson's Sb and a censored normal). The full model, which also incorporates a number of time budget related variables, indicates that a small, but relevant share of the respondents might not value time savings, or would rather extend the journey. This share is consistent with results from other studies. A series of models for the different types of tours indicate even higher potential shares in situations with typically fewer binding time constraints. The RP data used is derived from the six week travel diary Mobidrive. The observations from Karlsruhe are summarised at the level of the tour.

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    Article provided by Elsevier in its journal Transportation Research Part A: Policy and Practice.

    Volume (Year): 40 (2006)
    Issue (Month): 5 (June)
    Pages: 444-457

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    Handle: RePEc:eee:transa:v:40:y:2006:i:5:p:444-457
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    1. Redmond, Lothlorien S. & Mokhtarian, Patricia L., 2001. "The Positive Utility of the Commute: Modeling Ideal Commute Time and Relative Desired Commute Amount," University of California Transportation Center, Working Papers qt4mc291p2, University of California Transportation Center.
    2. Lyons, Glenn & Urry, John, 2005. "Travel time use in the information age," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(2-3), pages 257-276.
    3. Algers, Staffan & Bergström, Pål & Dahlberg, Matz & Lindqvist Dillén, Johanna, 1998. "Mixed Logit Estimation of the Value of Travel Time," Working Paper Series 1998:15, Uppsala University, Department of Economics.
    4. Robert Schlich & Kay Axhausen, 2003. "Habitual travel behaviour: Evidence from a six-week travel diary," Transportation, Springer, vol. 30(1), pages 13-36, February.
    5. Mokhtarian, Patricia L & Salomon, Ilan, 2001. "How Derived is the Demand for Travel? Some Conceptual and Measurement Considerations," University of California Transportation Center, Working Papers qt7cx951n5, University of California Transportation Center.
    6. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    7. Bhat, Chandra R. & Singh, Sujit K., 2000. "A comprehensive daily activity-travel generation model system for workers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(1), pages 1-22, January.
    8. Bhat, Chandra R., 2001. "Quasi-random maximum simulated likelihood estimation of the mixed multinomial logit model," Transportation Research Part B: Methodological, Elsevier, vol. 35(7), pages 677-693, August.
    9. Kay Axhausen & Andrea Zimmermann & Stefan Schönfelder & Guido Rindsfüser & Thomas Haupt, 2002. "Observing the rhythms of daily life: A six-week travel diary," Transportation, Springer, vol. 29(2), pages 95-124, May.
    10. David Hensher & William Greene, 2003. "The Mixed Logit model: The state of practice," Transportation, Springer, vol. 30(2), pages 133-176, May.
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