Revelation of Preferences in Trip Distribution Models
In this paper we will see how commuter preferences can be revealed from observations of trip distributions. We will explain how to find unique representations of preference structures leading to an observed trip distribution, and will also present a numerical method that can be used to infer preferences from systems of considerable size. The theory is applied to a real world network, and we show how our framework can be used to reveal detailed information about the spatial structure of this network. We also use this new framework to suggest a new approach to evaluate the impact of road pricing.
|Date of creation:||06 Jul 2007|
|Date of revision:|
|Contact details of provider:|| Postal: |
Phone: +47 55 95 92 93
Fax: +47 55 95 96 50
Web page: http://www.nhh.no/en/research-faculty/department-of-business-and-management-science.aspxEmail:
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:hhs:nhhfms:2007_018. 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: (Stein Fossen)
If references are entirely missing, you can add them using this form.