IDEAS home Printed from
MyIDEAS: Login to save this article or follow this journal

Benefit estimation of transport projects--a representative consumer approach

  • Kidokoro, Yukihiro

In this paper, by focusing on the forms of the utility function of a representative consumer, we explain the three typical models of benefit estimation for transport projects: the basic model, the Wardrop model, and the logit model. The basic model is a representative consumer model with a quasi-linear utility function that is additively separable between numeraire and transport services. The paper clarifies the relationship between these models and derives their implications for benefit estimation. We find that the Wardrop and logit models are special cases of the basic model and that the logit model degenerates to the Wardrop model in a limiting case. Although this relationship implies that one can apply the benefit estimation method for the basic model whatever method is used to estimate transport demand, the Wardrop and logit models have useful features for conducting benefit estimation for new routes.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL:
Download Restriction: Full text for ScienceDirect subscribers only

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Article provided by Elsevier in its journal Transportation Research Part B: Methodological.

Volume (Year): 40 (2006)
Issue (Month): 7 (August)
Pages: 521-542

in new window

Handle: RePEc:eee:transb:v:40:y:2006:i:7:p:521-542
Contact details of provider: Web page:

Order Information: Postal:

No references listed on IDEAS
You can help add them by filling out this form.

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:eee:transb:v:40:y:2006:i:7:p:521-542. 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: (Zhang, Lei)

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.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 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.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.