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Economic efficiency of second-best congestion pricing schemes in urban highway systems

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  • Liu, Louie Nan
  • McDonald, John F.
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    Abstract

    This paper examines urban highway congestion pricing in the instance in which it is not possible to levy a congestion toll on a major portion of the urban road system. This case is pertinent because of technical and/or political constraints. The paper uses economic theory of the second best and a simulation model to compare first-best, second-best and no-toll solutions for a model with two routes and two time periods (peak and pre-peak). The main findings from the simulation results are: (1) the second-best scheme is effective but less efficient than the first-best scheme in reallocating traffic volumes; (2) the second-best tolls are appreciably smaller than the first-best tolls; (3) the welfare gains from the second-best policy are much smaller than the welfare gains that are possible with a complete set of first-best tolls. It is also shown that the nature of the simulation results is not sensitive to reasonable cost and demand parameters.

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    Bibliographic Info

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

    Volume (Year): 33 (1999)
    Issue (Month): 3 (April)
    Pages: 157-188

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    Handle: RePEc:eee:transb:v:33:y:1999:i:3:p:157-188

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    1. Arnott, R. & de Palma, A. & Lindsey, R., 1990. "Departure time and route choice for the morning commute," Transportation Research Part B: Methodological, Elsevier, vol. 24(3), pages 209-228, June.
    2. Richard Arnott & Andre de Palma & Robin Lindsey, 1985. "Economics of a Bottleneck," Working Papers 636, Queen's University, Department of Economics.
    3. Small, Kenneth A, 1982. "The Scheduling of Consumer Activities: Work Trips," American Economic Review, American Economic Association, vol. 72(3), pages 467-79, June.
    4. Vickrey, William S, 1969. "Congestion Theory and Transport Investment," American Economic Review, American Economic Association, vol. 59(2), pages 251-60, May.
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