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Pareto-improving congestion pricing and revenue refunding with multiple user classes

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  • Guo, Xiaolei
  • Yang, Hai
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Abstract

This study investigates Pareto-improving congestion pricing and revenue refunding schemes in general transportation networks, which make every road user better off as compared with the situation without congestion pricing. We consider user heterogeneity in value of time (VOT) by adopting a multiclass user model with fixed origin-destination (OD) demands. We first prove that an OD and class-based Pareto-improving refunding scheme exists if and only if the total system monetary travel disutility is reduced. In view of the practical difficulty in identifying individual user's VOT, we further investigate class-anonymous refunding schemes that give the same amount of refund to all user classes traveling between the same OD pair regardless of their VOTs. We establish a sufficient condition for the existence of such OD-specific but class-anonymous Pareto-improving refunding schemes, which needs information only on the average toll paid and average travel time for trips between each OD pair.

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Bibliographic Info

Article provided by Elsevier in its journal Transportation Research Part B: Methodological.

Volume (Year): 44 (2010)
Issue (Month): 8-9 (September)
Pages: 972-982

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Handle: RePEc:eee:transb:v:44:y::i:8-9:p:972-982

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Related research

Keywords: Traffic equilibrium Congestion pricing Pareto-improving Revenue refunding;

References

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  1. Guo, Xiaolei & Yang, Hai, 2009. "User heterogeneity and bi-criteria system optimum," Transportation Research Part B: Methodological, Elsevier, vol. 43(4), pages 379-390, May.
  2. 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.
  3. Parry, Ian W H & Bento, Antonio, 2001. " Revenue Recycling and the Welfare Effects of Road Pricing," Scandinavian Journal of Economics, Wiley Blackwell, vol. 103(4), pages 645-71, December.
  4. Nakamura, Katsuhiko & Kockelman, Kara Maria, 2002. "Congestion pricing and roadspace rationing: an application to the San Francisco Bay Bridge corridor," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(5), pages 403-417, June.
  5. John Geanakoplos & H M Polemchakis, 2008. "Pareto Improving Taxes," Levine's Working Paper Archive 122247000000002219, David K. Levine.
  6. Small, Kenneth A., 2001. "Using the Revenues from Congestion Pricing," University of California Transportation Center, Working Papers qt7170x9b0, University of California Transportation Center.
  7. Vickrey, William S, 1969. "Congestion Theory and Transport Investment," American Economic Review, American Economic Association, vol. 59(2), pages 251-60, May.
  8. John Geanakoplos & H. M. Polemarchakis, 2008. "Pareto Improving Taxes," Cowles Foundation Discussion Papers 1662, Cowles Foundation for Research in Economics, Yale University.
  9. Richard Arnott & Marvin Kraus, 1994. "When Are Anonymous Congestion Charges Consistent with Marginal Cost Pricing?," NBER Technical Working Papers 0154, National Bureau of Economic Research, Inc.
  10. Daganzo, Carlos F., 1995. "A pareto optimum congestion reduction scheme," Transportation Research Part B: Methodological, Elsevier, vol. 29(2), pages 139-154, April.
  11. Adler, Jeffrey L. & Cetin, Mecit, 2001. "A direct redistribution model of congestion pricing," Transportation Research Part B: Methodological, Elsevier, vol. 35(5), pages 447-460, June.
  12. Geanakoplos, John & Polemarchakis, H.M., 2008. "Pareto improving taxes," Journal of Mathematical Economics, Elsevier, vol. 44(7-8), pages 682-696, July.
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Citations

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Cited by:
  1. 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.
  2. Tan, Zhijia & Yang, Hai, 2012. "The impact of user heterogeneity on road franchising," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(5), pages 958-975.
  3. Chen, Linxi & Yang, Hai, 2012. "Managing congestion and emissions in road networks with tolls and rebates," Transportation Research Part B: Methodological, Elsevier, vol. 46(8), pages 933-948.
  4. 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.
  5. Zhu, Shanjiang & Du, Longyuan & Zhang, Lei, 2013. "Rationing and pricing strategies for congestion mitigation: Behavioral theory, econometric model, and application in Beijing," Transportation Research Part B: Methodological, Elsevier, vol. 57(C), pages 210-224.
  6. 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.
  7. 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.
  8. Yang, Hai & Wang, Xiaolei, 2011. "Managing network mobility with tradable credits," Transportation Research Part B: Methodological, Elsevier, vol. 45(3), pages 580-594, March.

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