IDEAS home Printed from https://ideas.repec.org/p/cdl/uctcwp/qt06x0k5r4.html
   My bibliography  Save this paper

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

Author

Listed:
  • Kockelman, Kara Maria

Abstract

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

Suggested Citation

  • 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
    as

    Download full text from publisher

    File URL: http://www.escholarship.org/uc/item/06x0k5r4.pdf;origin=repeccitec
    Download Restriction: no

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    More about this item

    Keywords

    Architecture;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cdl:uctcwp:qt06x0k5r4. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Lisa Schiff). General contact details of provider: http://edirc.repec.org/data/itucbus.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.