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Cost recovery from congestion tolls with long-run uncertainty

Author

Listed:
  • Robin Lindsey

    (Sauder - Sauder School of Business [British Columbia] - UBC - University of British Columbia)

  • André de Palma

    (CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique, ENS Cachan - École normale supérieure - Cachan)

Abstract

According to the Cost Recovery Theorem the revenues from optimal congestion tolls pay for the capacity costs of an optimal-sized facility if capacity is perfectly divisible, and if user costs and capacity costs have constant scale economies. This paper extends the theorem to long-run uncertainty about investment costs, user costs, and demand. It proves that if constant scale economies hold at all times and in all states, and if the toll can be varied freely over time and by state, then expected discounted congestion toll revenues cover expected discounted investment costs over a facility׳s lifetime. If the marginal cost of investment is constant and investment is reversible, expected cost recovery also holds for each investment. If demand is relatively price inelastic, cost recovery is sensitive to estimated initial demand and estimated growth rate of demand. Natural variability in demand can result in substantial surpluses or deficits over a facility׳s lifetime.

Suggested Citation

  • Robin Lindsey & André de Palma, 2014. "Cost recovery from congestion tolls with long-run uncertainty," Post-Print hal-01311130, HAL.
  • Handle: RePEc:hal:journl:hal-01311130
    DOI: 10.1016/j.ecotra.2014.01.004
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    References listed on IDEAS

    as
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    3. Fu, Xinying & van den Berg, Vincent A.C. & Verhoef, Erik T., 2018. "Private road supply in networks with heterogeneous users," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 430-443.
    4. Vincent van den Berg, "undated". "Self-financing roads under coarse tolling and heterogeneous preferences," Tinbergen Institute Discussion Papers 22-045/VIII, Tinbergen Institute.
    5. Guo, Liquan & Ng, Adolf K.Y. & Jiang, Changmin & Long, Jiancheng, 2021. "Stepwise capacity integration in port cluster under uncertainty and congestion," Transport Policy, Elsevier, vol. 112(C), pages 94-113.
    6. Kidokoro, Yukihiro & Zhang, Anming, 2018. "Airport congestion pricing and cost recovery with side business," Transportation Research Part A: Policy and Practice, Elsevier, vol. 114(PA), pages 222-236.
    7. Balliauw, Matteo & Onghena, Evy, 2020. "Expanding airport capacity of cities under uncertainty: Strategies to mitigate congestion," Journal of Air Transport Management, Elsevier, vol. 84(C).
    8. Itoh, Ryo, 2018. "Is transportation infrastructure cost recoverable under the risk of disasters?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 457-465.
    9. Balliauw, Matteo & Kort, Peter M. & Zhang, Anming, 2019. "Capacity investment decisions of two competing ports under uncertainty: A strategic real options approach," Transportation Research Part B: Methodological, Elsevier, vol. 122(C), pages 249-264.
    10. Jingfeng Yuan & Wenying Ji & Jiyue Guo & Mirosław J. Skibniewski, 2019. "Simulation-based dynamic adjustments of prices and subsidies for transportation PPP projects based on stakeholders’ satisfaction," Transportation, Springer, vol. 46(6), pages 2309-2345, December.
    11. van den Berg, Vincent A.C., 2024. "Self-financing roads under coarse tolling and preference heterogeneity," Transportation Research Part B: Methodological, Elsevier, vol. 182(C).
    12. Ben Dachis, 2013. "Cars, Congestion and Costs: A New Approach to Evaluating Government Infrastructure Investment," C.D. Howe Institute Commentary, C.D. Howe Institute, issue 385, July.

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    More about this item

    Keywords

    Congestion pricing; Cost recovery; Road capacity; Cost uncertainty; Demand uncertainty; Irreversible investment;
    All these keywords.

    JEL classification:

    • D62 - Microeconomics - - Welfare Economics - - - Externalities
    • H21 - Public Economics - - Taxation, Subsidies, and Revenue - - - Efficiency; Optimal Taxation
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • R42 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government and Private Investment Analysis; Road Maintenance; Transportation Planning
    • R48 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government Pricing and Policy

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