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Regulating dynamic congestion externalities with tradable credit schemes: does a unique equilibrium exist?

Author

Listed:
  • Yue Bao

    (VU Amsterdam)

  • Erik Verhoef

    (VU Amsterdam)

  • Paul Koster

    (VU Amsterdam)

Abstract

Tradable credit schemes offer a potentially efficient, revenue-neutral policy alternative to classical dynamic pricing of congestion externalities. We show in this paper that the resulting equilibrium may not be unique for particular models of congestion, including the first-best solution for the conventional Vickrey’s bottleneck model. This can have substantial detrimental impacts on social welfare and social acceptance of tradable credit schemes. The reason underlying this result is that the credit supply-demand condition can be satisfied for a continuum of credit prices. This is because any marginal change in the credit price will be matched by a compensating change in queuing times, keeping user price fixed but deviating from the first-best optimum in which no queueing should occur. We find that the problem of non-uniqueness does not occur for the well-known dynamic flow congestion model proposed by Chu. A unique equilibrium can be obtained in the bottleneck model if the buying and selling of credits with a bank is allowed, against a pre-determined price. Credits are then still tradable so that the use can deviate from the initial distribution, but the credit price is determined by the perfectly elastic demand and supply from the bank.

Suggested Citation

  • Yue Bao & Erik Verhoef & Paul Koster, "undated". "Regulating dynamic congestion externalities with tradable credit schemes: does a unique equilibrium exist?," Tinbergen Institute Discussion Papers 19-017/VIII, Tinbergen Institute.
  • Handle: RePEc:tin:wpaper:20190017
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    2. Senlai Zhu & Hantao Yu & Congjun Fan, 2024. "Travel Plan Sharing and Regulation for Managing Traffic Bottleneck Based on Blockchain Technology," Sustainability, MDPI, vol. 16(4), pages 1-20, February.
    3. Daniel Hörcher & Ramandeep Singh & Daniel J. Graham, 2022. "Social distancing in public transport: mobilising new technologies for demand management under the Covid-19 crisis," Transportation, Springer, vol. 49(2), pages 735-764, April.
    4. Louis Balzer & Ludovic Leclercq, 2021. "Modal equilibrium of a tradable credit scheme with a trip-based MFD and logit-based decision-making," Papers 2112.07277, arXiv.org, revised Apr 2022.
    5. Lin, Boyu & Liu, Qiumin & Jiang, Rui & Li, Xingang & Cui, Di, 2025. "Departure time choices and comparisons of household commuting based on the stochastic bottleneck model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 674(C).
    6. Zhang, Fang & Lu, Jian & Hu, Xiaojian & Fan, Ruochuan & Chen, Junlan, 2022. "Managing bottleneck congestion with tradable credit scheme under demand uncertainty," Research in Transportation Economics, Elsevier, vol. 95(C).
    7. Fan, Wenbo & Xiao, Feng & Nie, Yu (Macro), 2022. "Managing bottleneck congestion with tradable credits under asymmetric transaction cost," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 158(C).
    8. Devi Brands & Erik Verhoef & Jasper Knockaert, 2021. "Pcoins for parking: a field experiment with tradable mobility permits," Tinbergen Institute Discussion Papers 21-029/VIII, Tinbergen Institute.
    9. Ravi Seshadri & André de Palma & Moshe Ben-Akiva, 2021. "Congestion Tolling−Dollars versus Tokens: Within-day Dynamics," Thema Working Papers 2021-12, THEMA (Théorie Economique, Modélisation et Applications), CY Cergy-Paris University, ESSEC and CNRS.
    10. Yu, Xiaojuan & van den Berg, Vincent A.C. & Verhoef, Erik T., 2025. "Preference heterogeneity in a dynamic flow congestion model," Transportation Research Part B: Methodological, Elsevier, vol. 195(C).
    11. Siyu Chen & Ravi Seshadri & Carlos Lima Azevedo & Arun P. Akkinepally & Renming Liu & Andrea Araldo & Yu Jiang & Moshe E. Ben-Akiva, 2021. "Market Design for Tradable Mobility Credits," Papers 2101.00669, arXiv.org, revised Sep 2022.
    12. Fei Han & Jian Wang & Lingli Huang & Yan Li & Liu He, 2023. "Modeling Impacts of Implementation Policies of Tradable Credit Schemes on Traffic Congestion in the Context of Traveler’s Cognitive Illusion," Sustainability, MDPI, vol. 15(15), pages 1-18, July.
    13. Li, Zhi-Chun & Huang, Hai-Jun & Yang, Hai, 2020. "Fifty years of the bottleneck model: A bibliometric review and future research directions," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 311-342.
    14. Jo-Ann Pattinson & Gillian Harrison & Caroline Mullen & Simon Shepherd, 2022. "Combining Tradable Credit Schemes with a New Form of Road Pricing: Producing Liveable Cities and Meeting Decarbonisation Goals," Sustainability, MDPI, vol. 14(14), pages 1-22, July.

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