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Credit-Based Congestion Pricing: Expert Expectations and Guidelines for Application

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  • Gulipalli, Pradeep K.
  • Kalmanje, Sukumar
  • Kockelman, Kara M.

Abstract

Congestion pricing (CP) ensures that travelers recognize the true travel-time costs of their tripmaking by accounting for the cost of delays imposed on fellow road users. Credit-based congestion pricing (CBCP) is a novel strategy which seeks to overcome the negative equity impacts of CP by allocating monthly budgets to eligible travelers to spend on congestion tolls. Previous works on CBCP have surveyed public opinion and examined the traffic and travel-welfare impacts of an Austin, Texas, application. This paper develops the CBCP policy further, examining expert opinions and system cost prediction. Transport economists, toll technology experts, administrators, policymakers, and commercial interests were surveyed for feedback on credit distribution, revenue uses, public reaction, appropriate technology and configuration, enforcement issues, and system-wide economic, land use, and business impacts. The results of this work are detailed recommendations for CBCP implementation, including estimates of administrative and technology costs for implementation of a CBCP policy in the Austin region.

Suggested Citation

  • Gulipalli, Pradeep K. & Kalmanje, Sukumar & Kockelman, Kara M., 2008. "Credit-Based Congestion Pricing: Expert Expectations and Guidelines for Application," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 47(2).
    • Handle: RePEc:ags:ndjtrf:206908
    DOI: 10.22004/ag.econ.206908
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    References listed on IDEAS

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    1. Small, Kenneth A., 1992. "Using the Revenues from Congestion Pricing," University of California Transportation Center, Working Papers qt32p9m3mm, University of California Transportation Center.
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    3. Dial, Robert B., 1999. "Minimal-revenue congestion pricing part I: A fast algorithm for the single-origin case," Transportation Research Part B: Methodological, Elsevier, vol. 33(3), pages 189-202, April.
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    Cited by:

    1. de Palma, André & Lindsey, Robin, 2020. "Tradable permit schemes for congestible facilities with uncertain supply and demand," Economics of Transportation, Elsevier, vol. 21(C).
    2. Clements, Lewis M. & Kockelman, Kara M. & Alexander, William, 2021. "Technologies for congestion pricing," Research in Transportation Economics, Elsevier, vol. 90(C).

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