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A Utility-Theory-Consistem System-of-Demand-Equations Approach to Household Travel Choice


  • Kockelman, Kara Maria


Modeling personal travel behavior is complex, particularly when one tries to adhere closely to actual casual mechanisms while predicting human response to changes in the transport environement. There has long been a need for explicitly modeling the underlying determinant of travel- the demand for participation in out-of-home activities; and progress is being made in this area, primarily through discrete-choice models coupled with continous-duration choices. However, these models tend to be restircted in size and conditional on a wide variety of other choices that could be modeled more endogenously.Â

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  • Kockelman, Kara Maria, 1998. "A Utility-Theory-Consistem System-of-Demand-Equations Approach to Household Travel Choice," University of California Transportation Center, Working Papers qt06x0k5r4, University of California Transportation Center.
  • Handle: RePEc:cdl:uctcwp:qt06x0k5r4

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    Cited by:

    1. Kockelman, Kara Maria & Krishnamurthy, Sriram, 2004. "A new approach for travel demand modeling: linking Roy's Identity to discrete choice," Transportation Research Part B: Methodological, Elsevier, vol. 38(5), pages 459-475, June.
    2. Larson, Douglas M. & Lew, Daniel K., 2005. "Measuring the utility of ancillary travel: revealed preferences in recreation site demand and trips taken," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(2-3), pages 237-255.
    3. Kockelman, Kara Maria, 2001. "A model for time- and budget-constrained activity demand analysis," Transportation Research Part B: Methodological, Elsevier, vol. 35(3), pages 255-269, March.
    4. Rongfang Liu & Andy Li, 2012. "Forecasting high-speed rail ridership using a simultaneous modeling approach," Transportation Planning and Technology, Taylor & Francis Journals, vol. 35(5), pages 577-590, June.

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