IDEAS home Printed from https://ideas.repec.org/p/cdl/itsdav/qt2170k38v.html
   My bibliography  Save this paper

A Review of the Representation of Induced Highway Travel in Current Travel and Land Use Models

Author

Listed:
  • Rodier, Caroline J.

Abstract

A considerable body of research on induced travel has emerged over the last several decades, and induced travel has been acknowledged by the U.S. Transportation Research Board and Environmental Protection Agency. This has brought renewed attention to the representation of induced travel in regional land use and travel demand models. A number of case studies (Sacramento, CA, Chittenden, VT, and Salt Lake City, UT) have assessed the ability of existing travel and land use models to represent the induced travel effects of new highway capacity (or elasticity of VMT with respect to lane miles and travel time). In addition, these studies have conducted sensitivity tests, by turning on and off model components, to isolate the relative contribution with respect to the models' representation of induced travel. The results indicate that when travel times are fed back to a land use model and/or the trip distribution step, then (1) models can represent induced travel within the range documented in the empirical literature and (2) the effect of new highway capacity on land use and trip distribution can significantly contribute to the model's representation of induced travel. If induced travel is not represented in travel and land use models, then the need for, and the benefit of, a highway project will tend to be overstated (e.g., 16% to 236% of vehicle hours traveled), and negative environmental effects will be understated (e.g., 72% to 192% of NOx vehicle emissions).

Suggested Citation

  • Rodier, Caroline J., 2004. "A Review of the Representation of Induced Highway Travel in Current Travel and Land Use Models," Institute of Transportation Studies, Working Paper Series qt2170k38v, Institute of Transportation Studies, UC Davis.
  • Handle: RePEc:cdl:itsdav:qt2170k38v
    as

    Download full text from publisher

    File URL: https://www.escholarship.org/uc/item/2170k38v.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. Kim Gilhuly & Marnie Purciel & Lili Farhang & Jennifer Lucky & Emily Celia Harris & Jonathan Heller & Edmund Yet Wah Seto, 2011. "Using health impact assessment in community development to improve air quality and public health," Community Development, Taylor & Francis Journals, vol. 42(2), pages 193-207, April.

    More about this item

    Keywords

    Engineering; UCD-ITS-RR-04-28;

    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:itsdav:qt2170k38v. See general information about how to correct material in RePEc.

    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 bibliographic 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.

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

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.