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Empirical identification of perceived congestion

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  • Michael O’Hara

Abstract

This paper investigates the empirical identification of perceived congestion and mitigating behavior using observational data. Congestion effects are identified using a procedure based upon a nonlinear function of the choice attributes combined with an equilibrium condition on the sorting behavior of participants. Results suggest that congestion effects can be identified, under certain assumptions, using only revealed preference data, and that ignoring these effects underestimates the strength of preferences for other attributes. The model is applied to data on rock climbers, and the resulting estimates used to simulate the reopening of a currently closed section of a popular NY rock-climbing area and the re-sorting of climbers that would result. Copyright Springer-Verlag Berlin Heidelberg 2013

Suggested Citation

  • Michael O’Hara, 2013. "Empirical identification of perceived congestion," Empirical Economics, Springer, vol. 45(3), pages 1167-1187, December.
    • Handle: RePEc:spr:empeco:v:45:y:2013:i:3:p:1167-1187
    DOI: 10.1007/s00181-012-0651-8
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    References listed on IDEAS

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    More about this item

    Keywords

    Random utility model; Congestion; Travel cost; Non-market valuation; C35; Q24; Q26;
    All these keywords.

    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • Q24 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Land
    • Q26 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Recreational Aspects of Natural Resources

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