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Revelation of Preferences in Trip Distribution Models

Author

Listed:
  • Jörnsten, Kurt

    (Dept. of Finance and Management Science, Norwegian School of Economics and Business Administration)

  • Thorsen, Inge

    (Stord/Haugesund University College)

  • Ubøe, Jan

    (Dept. of Finance and Management Science, Norwegian School of Economics and Business Administration)

Abstract

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.

Suggested Citation

  • Jörnsten, Kurt & Thorsen, Inge & Ubøe, Jan, 2007. "Revelation of Preferences in Trip Distribution Models," Discussion Papers 2007/18, Norwegian School of Economics, Department of Business and Management Science.
  • Handle: RePEc:hhs:nhhfms:2007_018
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    File URL: http://hdl.handle.net/11250/163912
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    More about this item

    Keywords

    Travel demand; revealed preferences; efficient distance; road pricing;
    All these keywords.

    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; Travel Time; Safety and Accidents; Transportation Noise
    • R48 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government Pricing and Policy

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