IDEAS home Printed from https://ideas.repec.org/p/ecj/ac2002/147.html
   My bibliography  Save this paper

Estimating Urban Road Congestion Costs

Author

Listed:
  • Newbery, David M

    (University of Cambridge)

  • Georgina Santos

Abstract

Economists wishing to analyse road congestion and road pricing have usually relied on link-based speed-flow relationships. These may provide a poor description of urban congestion, which mainly arises from delays at intersections. Using the simulation model SATURN, we investigate the second-best proportional traffic reduction and find that linear speed-flow relations describe network flows quite well in eight English towns, though the predicted congestion costs and charges overstate those apparently required in our second best model. We then confront the results with feasible optimal cordon charges, and find them reasonably correlated, but imperfect predictors.

Suggested Citation

  • Newbery, David M & Georgina Santos, 2002. "Estimating Urban Road Congestion Costs," Royal Economic Society Annual Conference 2002 147, Royal Economic Society.
    • Handle: RePEc:ecj:ac2002:147
    as

    Download full text from publisher

    File URL: http://repec.org/res2002/Newbery.pdf
    File Function: full text
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Martin Koning, 2009. "La congestion du boulevard périphérique parisien : Estimations, évolution 2000-2007, discussions," Post-Print halshs-00363389, HAL.
    2. Chris Nash & Jeremy Shires & Heike Link, 2010. "Quantifizierung der sozialen Grenzkosten des Straßenverkehrs: welches sind die wichtigsten Komponenten?," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 79(2), pages 13-38.
    3. Georgina Santos & Laurent Rojey, 2004. "Distributional impacts of road pricing: The truth behind the myth," Transportation, Springer, vol. 31(1), pages 21-42, February.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ecj:ac2002:147. 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: Christopher F. Baum (email available below). General contact details of provider: https://edirc.repec.org/data/resssea.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.