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Downtown tolls and the distribution of trip lengths

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  • Lehe, Lewis J.

Abstract

Currently, all downtown tolls are “access tolls,” meaning they charge for gross access to a zone, but tolls levied on distance-traveled are on the horizon. This paper shows how such tolls affect the distribution of trip lengths. A static model is presented in which travelers with potentially different trip lengths decide whether to drive into a downtown zone governed by a Macroscopic Fundamental Diagram (MFD), with each traveler’s choice probability declining as tolls and travel time rise. An application of Little's Law allows the model's equilibria to be derived in terms of a familiar supply/demand framework. Analysis proves and numerical simulation demonstrates that, if trip lengths and the value of a trip both vary across travelers, then access tolls inefficiently shift the distribution of car trip lengths toward long trips, whereas a distance toll can achieve the welfare-maximizing set of car trips.

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  • Lehe, Lewis J., 2017. "Downtown tolls and the distribution of trip lengths," Economics of Transportation, Elsevier, vol. 11, pages 23-32.
    • Handle: RePEc:eee:ecotra:v:11-12:y:2017:i::p:23-32
    DOI: 10.1016/j.ecotra.2017.10.003
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    1. Olszewski, Piotr & Fan, Henry S. L. & Tan, Yan-Weng, 1995. "Area-wide traffic speed-flow model for the Singapore CBD," Transportation Research Part A: Policy and Practice, Elsevier, vol. 29(4), pages 273-281, July.
    2. Verhoef, Erik T., 2005. "Second-best congestion pricing schemes in the monocentric city," Journal of Urban Economics, Elsevier, vol. 58(3), pages 367-388, November.
    3. Verhoef, Erik T., 2002. "Second-best congestion pricing in general static transportation networks with elastic demands," Regional Science and Urban Economics, Elsevier, vol. 32(3), pages 281-310, May.
    4. Arnott, Richard, 2013. "A bathtub model of downtown traffic congestion," Journal of Urban Economics, Elsevier, vol. 76(C), pages 110-121.
    5. Eliasson, Jonas, 2014. "The Stockholm congestion charges: an overview," Working papers in Transport Economics 2014:7, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    6. Arnott, Richard & Kokoza, Anatolii & Naji, Mehdi, 2016. "Equilibrium traffic dynamics in a bathtub model: A special case," Economics of Transportation, Elsevier, vol. 7, pages 38-52.
    7. Arnott, Richard & Inci, Eren, 2010. "The stability of downtown parking and traffic congestion," Journal of Urban Economics, Elsevier, vol. 68(3), pages 260-276, November.
    8. Eliasson, Jonas, 2008. "Lessons from the Stockholm congestion charging trial," Transport Policy, Elsevier, vol. 15(6), pages 395-404, November.
    9. Jonathan Leape, 2006. "The London Congestion Charge," Journal of Economic Perspectives, American Economic Association, vol. 20(4), pages 157-176, Fall.
    10. Santos, Georgina & Li, Wai Wing & Koh, Winston T.H, 2004. "9. Transport Policies In Singapore," Research in Transportation Economics, Elsevier, vol. 9(1), pages 209-235, January.
    11. Yang, Hai & Huang, Hai-Jun, 1998. "Principle of marginal-cost pricing: how does it work in a general road network?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 32(1), pages 45-54, January.
    12. Verhoef, Erik T., 1999. "Time, speeds, flows and densities in static models of road traffic congestion and congestion pricing," Regional Science and Urban Economics, Elsevier, vol. 29(3), pages 341-369, May.
    13. Daganzo, Carlos F., 2007. "Urban gridlock: Macroscopic modeling and mitigation approaches," Transportation Research Part B: Methodological, Elsevier, vol. 41(1), pages 49-62, January.
    14. Gibson, Matthew & Carnovale, Maria, 2015. "The effects of road pricing on driver behavior and air pollution," Journal of Urban Economics, Elsevier, vol. 89(C), pages 62-73.
    15. May, A. D. & Milne, D. S., 2000. "Effects of alternative road pricing systems on network performance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(6), pages 407-436, August.
    16. Fosgerau, Mogens, 2015. "Congestion in the bathtub," Economics of Transportation, Elsevier, vol. 4(4), pages 241-255.
    17. Geroliminis, Nikolas & Daganzo, Carlos F., 2008. "Existence of urban-scale macroscopic fundamental diagrams: Some experimental findings," Transportation Research Part B: Methodological, Elsevier, vol. 42(9), pages 759-770, November.
    18. Mun, Se-il & Konishi, Ko-ji & Yoshikawa, Kazuhiro, 2003. "Optimal cordon pricing," Journal of Urban Economics, Elsevier, vol. 54(1), pages 21-38, July.
    19. Meng, Qiang & Liu, Zhiyuan & Wang, Shuaian, 2012. "Optimal distance tolls under congestion pricing and continuously distributed value of time," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(5), pages 937-957.
    20. Daganzo, Carlos F. & Lehe, Lewis J., 2016. "Traffic flow on signalized streets," Transportation Research Part B: Methodological, Elsevier, vol. 90(C), pages 56-69.
    21. Daganzo, Carlos F. & Geroliminis, Nikolas, 2008. "An analytical approximation for the macroscopic fundamental diagram of urban traffic," Transportation Research Part B: Methodological, Elsevier, vol. 42(9), pages 771-781, November.
    22. Nikolas Geroliminis & David M. Levinson, 2009. "Cordon Pricing Consistent with the Physics of Overcrowding," Springer Books, in: William H. K. Lam & S. C. Wong & Hong K. Lo (ed.), Transportation and Traffic Theory 2009: Golden Jubilee, chapter 0, pages 219-240, Springer.
    23. Börjesson, Maria & Kristoffersson, Ida, 2015. "The Gothenburg congestion charge. Effects, design and politics," Transportation Research Part A: Policy and Practice, Elsevier, vol. 75(C), pages 134-146.
    24. Mariotte, Guilhem & Leclercq, Ludovic & Laval, Jorge A., 2017. "Macroscopic urban dynamics: Analytical and numerical comparisons of existing models," Transportation Research Part B: Methodological, Elsevier, vol. 101(C), pages 245-267.
    25. George A. Akerlof, 1970. "The Market for "Lemons": Quality Uncertainty and the Market Mechanism," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 84(3), pages 488-500.
    26. Gonzales, Eric J., 2015. "Coordinated pricing for cars and transit in cities with hypercongestion," Economics of Transportation, Elsevier, vol. 4(1), pages 64-81.
    27. Daganzo, Carlos F. & Lehe, Lewis J., 2015. "Distance-dependent congestion pricing for downtown zones," Transportation Research Part B: Methodological, Elsevier, vol. 75(C), pages 89-99.
    28. Georgina Santos, 2008. "The London Congestion Charging Scheme, 2003–2006," Chapters, in: Harry W. Richardson & Chang-Hee Christine Bae (ed.), Road Congestion Pricing in Europe, chapter 8, Edward Elgar Publishing.
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    Cited by:

    1. Zheng, Nan & Geroliminis, Nikolas, 2020. "Area-based equitable pricing strategies for multimodal urban networks with heterogeneous users," Transportation Research Part A: Policy and Practice, Elsevier, vol. 136(C), pages 357-374.
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    3. Peiyu Jing & Ravi Seshadri & Takanori Sakai & Ali Shamshiripour & Andre Romano Alho & Antonios Lentzakis & Moshe E. Ben-Akiva, 2023. "Evaluating congestion pricing schemes using agent-based passenger and freight microsimulation," Papers 2305.07318, arXiv.org.
    4. Lehe, Lewis J. & Pandey, Ayush, 2020. "Hyperdemand: A static traffic model with backward-bending demand curves," Economics of Transportation, Elsevier, vol. 24(C).
    5. Lehe, Lewis J., 2020. "Winners and losers from road pricing with heterogeneous travelers and a mixed-traffic bus alternative," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 432-446.

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