IDEAS home Printed from https://ideas.repec.org/p/ema/worpap/2021-12.html
   My bibliography  Save this paper

Congestion Tolling−Dollars versus Tokens: Within-day Dynamics

Author

Listed:
  • Ravi Seshadri
  • André de Palma
  • Moshe Ben-Akiva

    (Université de Cergy-Pontoise, THEMA)

Abstract

Tradable permit schemes (or tolling in tokens) are a form of quantity control, which promise tobe an appealing alternative to congestion pricing (or tolling in dollars) owing to considerations ofrevenue neutrality, equity, reduced infrastructure costs, and political acceptability. The comparativeperformance of the two instruments under uncertainty in demand and supply has only recently receivedattention in the transportation setting, despite being widely studied for emission markets. In thispaper, we add to this literature by considering a tradable permit scheme in a departure time contextwherein users are provided an initial endowment of tokens by the regulator and incur a token charge(determined prior to all departures) to travel in a specific time period. Tokens can be bought andsold within a marketplace at a price determined by a market clearing mechanism in each time period.A key feature of the market model is that the selling decisions of users are explicitly considered,which enables us to study the impact of selling behavior on performance of the permit system. Traveldemand is modeled using a logit mixture model and supply consists of static congestion.In the case of uncertain demand/supply wherein the tolls (in dollars and tokens) can be adaptedfrom day to day (or alternatively demand/supply are deterministic), the two instruments can be shownanalytically to be equivalent. In contrast, when the tolls are not day to day adaptive, the comparisonof the two instruments is performed numerically. Our experiments over a wide range of demand andsupply scenarios show that although neither instrument is consistently superior in terms of efficiency(overall social welfare), tolling in tokens outperforms tolling in dollars when congestion effects aremore severe (e.g. realistic BPR models and steep congestion functions, high demand levels and highday-to-day variability). Importantly, we find that the token system is robust in efficiency terms (social welfare) with respect to selling behavior in the market, although there can be welfare losses in thequantity control system when selling behavior in the market is too irrational (relative to a quantitycontrol system implementing rational selling behavior). Moreover, when the supply of tokens can beadapted from day to day, the permit system was found to be superior in all tested scenarios in whichthe selling behavior of individuals is rational. Finally, even in the case when toll revenues in theprice instrument are equally redistributed (often difficult in practice), tolling in tokens (when tokensare equally distributed) is marginally more equitable in scenarios where congestion effects are moresevere. These findings make a case for tolling in tokens.

Suggested Citation

  • 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), Université de Cergy-Pontoise.
  • Handle: RePEc:ema:worpap:2021-12
    as

    Download full text from publisher

    File URL: https://thema.u-cergy.fr/IMG/pdf/2021-12.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bao, Yue & Verhoef, Erik T. & Koster, Paul, 2019. "Regulating dynamic congestion externalities with tradable credit schemes: Does a unique equilibrium exist?," Transportation Research Part B: Methodological, Elsevier, vol. 127(C), pages 225-236.
    2. Tian, Li-Jun & Yang, Hai & Huang, Hai-Jun, 2013. "Tradable credit schemes for managing bottleneck congestion and modal split with heterogeneous users," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 54(C), pages 1-13.
    3. Nie, Yu (Marco) & Yin, Yafeng, 2013. "Managing rush hour travel choices with tradable credit scheme," Transportation Research Part B: Methodological, Elsevier, vol. 50(C), pages 1-19.
    4. Pouya Rezaeinia & André de Palma & Robin Lindsey, 2021. "TRAFFIC CONGESTION CONTROL: TRADABLE PERMITS vs ROAD TOLLS," THEMA Working Papers 2021-09, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    5. de Palma, André & Lindsey, Robin, 2020. "Tradable permit schemes for congestible facilities with uncertain supply and demand," Economics of Transportation, Elsevier, vol. 21(C).
    6. Xiao, Feng & Qian, Zhen (Sean) & Zhang, H. Michael, 2013. "Managing bottleneck congestion with tradable credits," Transportation Research Part B: Methodological, Elsevier, vol. 56(C), pages 1-14.
    7. Kockelman, Kara M. & Kalmanje, Sukumar, 2005. "Credit-based congestion pricing: a policy proposal and the public's response," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(7-9), pages 671-690.
    8. Charles Raux, 2004. "The Use of Transferable Permits in Transport Policy," Post-Print halshs-00067895, HAL.
    9. Dao-Li Zhu & Hai Yang & Chang-Min Li & Xiao-Lei Wang, 2015. "Properties of the Multiclass Traffic Network Equilibria Under a Tradable Credit Scheme," Transportation Science, INFORMS, vol. 49(3), pages 519-534, August.
    10. Cirillo, C. & Axhausen, K.W., 2006. "Evidence on the distribution of values of travel time savings from a six-week diary," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(5), pages 444-457, June.
    11. Jean Jacques Laffont, 1977. "More on Prices vs. Quantities," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 44(1), pages 177-182.
    12. Martin L. Weitzman, 1974. "Prices vs. Quantities," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 41(4), pages 477-491.
    13. Susan Grant-Muller & Meng Xu, 2014. "The Role of Tradable Credit Schemes in Road Traffic Congestion Management," Transport Reviews, Taylor & Francis Journals, vol. 34(2), pages 128-149, March.
    14. Yang Liu & Yu (Marco) Nie, 2017. "A Credit-Based Congestion Management Scheme in General Two-Mode Networks with Multiclass Users," Networks and Spatial Economics, Springer, vol. 17(3), pages 681-711, September.
    15. Fan, Wenbo & Jiang, Xinguo, 2013. "Tradable mobility permits in roadway capacity allocation: Review and appraisal," Transport Policy, Elsevier, vol. 30(C), pages 132-142.
    16. de Palma, André & Proost, Stef & Seshadri, Ravi & Ben-Akiva, Moshe, 2018. "Congestion tolling - dollars versus tokens: A comparative analysis," Transportation Research Part B: Methodological, Elsevier, vol. 108(C), pages 261-280.
    17. S. Jaensirisak & M. Wardman & A. D. May, 2005. "Explaining Variations in Public Acceptability of Road Pricing Schemes," Journal of Transport Economics and Policy, University of Bath, vol. 39(2), pages 127-154, May.
    18. Brands, Devi K. & Verhoef, Erik T. & Knockaert, Jasper & Koster, Paul R., 2020. "Tradable permits to manage urban mobility: Market design and experimental implementation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 34-46.
    19. E Verhoef & P Nijkamp & P Rietveld, 1997. "Tradeable Permits: Their Potential in the Regulation of Road Transport Externalities," Environment and Planning B, , vol. 24(4), pages 527-548, August.
    20. Wu, Di & Yin, Yafeng & Lawphongpanich, Siriphong & Yang, Hai, 2012. "Design of more equitable congestion pricing and tradable credit schemes for multimodal transportation networks," Transportation Research Part B: Methodological, Elsevier, vol. 46(9), pages 1273-1287.
    21. He, Fang & Yin, Yafeng & Shirmohammadi, Nima & Nie, Yu (Marco), 2013. "Tradable credit schemes on networks with mixed equilibrium behaviors," Transportation Research Part B: Methodological, Elsevier, vol. 57(C), pages 47-65.
    22. Hess, Stephane & Bierlaire, Michel & Polak, John W., 2005. "Estimation of value of travel-time savings using mixed logit models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(2-3), pages 221-236.
    23. Yang, Hai & Wang, Xiaolei, 2011. "Managing network mobility with tradable credits," Transportation Research Part B: Methodological, Elsevier, vol. 45(3), pages 580-594, March.
    24. Wang, Xiaolei & Yang, Hai & Zhu, Daoli & Li, Changmin, 2012. "Tradable travel credits for congestion management with heterogeneous users," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(2), pages 426-437.
    25. Paolo Delle Site & André de Palma & Karim Kilani, 2021. "Consumers’ welfare and compensating variation: survey and mode choice application," THEMA Working Papers 2021-11, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    26. Yu Nie, 2015. "A New Tradable Credit Scheme for the Morning Commute Problem," Networks and Spatial Economics, Springer, vol. 15(3), pages 719-741, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Robin Lindsey & André de Palma & Pouya Rezaeini, 2022. "Tolls vs tradable permits for managing travel on a bimodal congested network with variable capacities and demands," THEMA Working Papers 2022-06, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Ren-Yong Guo & Hai-Jun Huang & Hai Yang, 2019. "Tradable Credit Scheme for Control of Evolutionary Traffic Flows to System Optimum: Model and its Convergence," Networks and Spatial Economics, Springer, vol. 19(3), pages 833-868, September.
    3. Candia, Diego & Verhoef, Erik T., 2022. "Tradable mobility permits in a monocentric city with pre-existing labor taxation: A general equilibrium perspective," Transportation Research Part B: Methodological, Elsevier, vol. 163(C), pages 145-165.
    4. 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).
    5. de Palma, André & Lindsey, Robin, 2020. "Tradable permit schemes for congestible facilities with uncertain supply and demand," Economics of Transportation, Elsevier, vol. 21(C).
    6. Gao, Ge & Sun, Huijun & Wu, Jianjun & Liu, Xinmin & Chen, Weiya, 2018. "Park-and-ride service design under a price-based tradable credits scheme in a linear monocentric city," Transport Policy, Elsevier, vol. 68(C), pages 1-12.
    7. Xu, Meng & Grant-Muller, Susan, 2016. "Trip mode and travel pattern impacts of a Tradable Credits Scheme: A case study of Beijing," Transport Policy, Elsevier, vol. 47(C), pages 72-83.
    8. Bao, Yue & Verhoef, Erik T. & Koster, Paul, 2019. "Regulating dynamic congestion externalities with tradable credit schemes: Does a unique equilibrium exist?," Transportation Research Part B: Methodological, Elsevier, vol. 127(C), pages 225-236.
    9. Bruno De Borger & Amihai Glazer & Stef Proost, 2021. "Rational Drivers and the Choice Between Congestion Tolls and Tradeable Permits: A Political Economy Model," CESifo Working Paper Series 8821, CESifo.
    10. Zhang, Fang & Lu, Jian & Hu, Xiaojian, 2021. "Tradable credit scheme design with transaction cost and equity constraint," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 145(C).
    11. Ge Gao & Xinmin Liu & Huijun Sun & Jianjun Wu & Haiqing Liu & Wei (Walker) Wang & Zhen Wang & Tao Wang & Haoming Du, 2019. "Marginal Cost Pricing Analysis on Tradable Credits in Traffic Engineering," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-10, January.
    12. Provoost, Jesper & Cats, Oded & Hoogendoorn, Serge, 2023. "Design and classification of tradable mobility credit schemes," Transport Policy, Elsevier, vol. 136(C), pages 59-69.
    13. 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).
    14. 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.
    15. Ren-Yong Guo & Hai Yang & Hai-Jun Huang & Zhijia Tan, 2016. "Day-to-Day Flow Dynamics and Congestion Control," Transportation Science, INFORMS, vol. 50(3), pages 982-997, August.
    16. de Palma, André & Proost, Stef & Seshadri, Ravi & Ben-Akiva, Moshe, 2018. "Congestion tolling - dollars versus tokens: A comparative analysis," Transportation Research Part B: Methodological, Elsevier, vol. 108(C), pages 261-280.
    17. Dao-Li Zhu & Hai Yang & Chang-Min Li & Xiao-Lei Wang, 2015. "Properties of the Multiclass Traffic Network Equilibria Under a Tradable Credit Scheme," Transportation Science, INFORMS, vol. 49(3), pages 519-534, August.
    18. 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.
    19. Wang, Hua & Zhang, Xiaoning, 2016. "Joint implementation of tradable credit and road pricing in public-private partnership networks considering mixed equilibrium behaviors," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 94(C), pages 158-170.
    20. De Borger, Bruno & Glazer, Amihai & Proost, Stef, 2022. "Strategic behavior under tradeable driving permits and congestion tolls: A political economy model," Journal of Urban Economics, Elsevier, vol. 128(C).

    More about this item

    Keywords

    Tolls; tradable mobility permits; congestion; dynamic models; efficiency; equity;
    All these keywords.

    JEL classification:

    • R - Urban, Rural, Regional, Real Estate, and Transportation Economics
    • R48 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government Pricing and Policy

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ema:worpap:2021-12. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Stefania Marcassa (email available below). General contact details of provider: https://edirc.repec.org/data/themafr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.