Revelation of Preferences in Trip Distribution Models
AbstractIn 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.
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Bibliographic InfoPaper provided by Department of Business and Management Science, Norwegian School of Economics in its series Discussion Papers with number 2007/18.
Length: 22 pages
Date of creation: 06 Jul 2007
Date of revision:
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Postal: NHH, Department of Business and Management Science, Helleveien 30, N-5045 Bergen, Norway
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.aspx
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Travel demand; revealed preferences; efficient distance; road pricing;
Find related papers by JEL classification:
- C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
- R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion
- R48 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government Pricing and Policy
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