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Urban passenger travel demand estimation: A household activity approach

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  • Munshi, Kaivan

Abstract

The absence of a structural relationship between trip generation and transportation supply characteristics has been seen as a major drawback of conventional transportation demand models. We respond to this criticism by developing a model of household activity demand that underlies and generates transportation demand. Time is considered as an argument in an activity utility function that the individual attempts to maximize, subject to a time-budget constraint. Transportation system improvements relax the time-budget constraint, providing opportunities for additional nonhome activities, with a corresponding generation of trips. Trip generation is found to be insensitive to transportation system performance in the short run. However, our model provides a framework in which the impacts of large transportation improvements could be modeled in the future.

Suggested Citation

  • Munshi, Kaivan, 1993. "Urban passenger travel demand estimation: A household activity approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 27(6), pages 423-432, November.
    • Handle: RePEc:eee:transa:v:27:y:1993:i:6:p:423-432
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    Citations

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    Cited by:

    1. Marcela Munizaga & Sergio Jara-Díaz & Paulina Greeven & Chandra Bhat, 2008. "Econometric Calibration of the Joint Time Assignment--Mode Choice Model," Transportation Science, INFORMS, vol. 42(2), pages 208-219, May.
    2. Golob, Thomas F., 1999. "A Simultaneous Model of Household Activity Participation and Trip Chain Generation," University of California Transportation Center, Working Papers qt0w16g0x2, University of California Transportation Center.
    3. Andronis, Lazaros & Maredza, Mandy & Petrou, Stavros, 2019. "Measuring, valuing and including forgone childhood education and leisure time costs in economic evaluation: Methods, challenges and the way forward," Social Science & Medicine, Elsevier, vol. 237(C), pages 1-1.
    4. Marcela Munizaga & Sergio Jara-Díaz & Javiera Olguín & Jorge Rivera, 2011. "Generating twins to build weekly time use data from multiple single day OD surveys," Transportation, Springer, vol. 38(3), pages 511-524, May.
    5. Bhat, Chandra R., 2005. "A multiple discrete-continuous extreme value model: formulation and application to discretionary time-use decisions," Transportation Research Part B: Methodological, Elsevier, vol. 39(8), pages 679-707, September.
    6. Jara-Díaz, Sergio & Rosales-Salas, Jorge, 2017. "Beyond transport time: A review of time use modeling," Transportation Research Part A: Policy and Practice, Elsevier, vol. 97(C), pages 209-230.
    7. Bhat, Chandra R. & Srinivasan, Sivaramakrishnan & Sen, Sudeshna, 2006. "A joint model for the perfect and imperfect substitute goods case: Application to activity time-use decisions," Transportation Research Part B: Methodological, Elsevier, vol. 40(10), pages 827-850, December.
    8. Chang-Hyeon Joh & Theo A Arentze & Harry J P Timmermans, 2005. "A Utility-Based Analysis of Activity Time Allocation Decisions Underlying Segmented Daily Activity–Travel Patterns," Environment and Planning A, , vol. 37(1), pages 105-125, January.
    9. Timmermans, Harry & van der Waerden, Peter & Alves, Mario & Polak, John & Ellis, Scott & Harvey, Andrew S. & Kurose, Shigeyuki & Zandee, Rianne, 2002. "Time allocation in urban and transport settings: an international, inter-urban perspective," Transport Policy, Elsevier, vol. 9(2), pages 79-93, April.
    10. Golob, Thomas F., 2000. "A simultaneous model of household activity participation and trip chain generation," Transportation Research Part B: Methodological, Elsevier, vol. 34(5), pages 355-376, June.
    11. Golob, Thomas F., 1999. "A Simultaneous Model of Household Activity Participation and Trip Chain Generation," University of California Transportation Center, Working Papers qt6xc704kp, University of California Transportation Center.

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