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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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.

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