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A direct redistribution model of congestion pricing

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  • Adler, Jeffrey L.
  • Cetin, Mecit

Abstract

This paper discusses a direct redistribution approach to congestion pricing in which monies collected from drivers on a more desirable route are directly transferred to users on a less desirable route. An analytical model for a two-node two-route network is developed. An example is used to demonstrate the applicability of this model. It is shown that this model of toll collection and subsidization will reduce the travel cost for all travelers and totally eliminate the waiting time in the queue. When compared against the social optimal assignment, the direct redistribution model yields almost identical results.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:transb:v:35:y:2001:i:5:p:447-460
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    References listed on IDEAS

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    1. Arnott, Richard & de Palma, Andre & Lindsey, Robin, 1990. "Economics of a bottleneck," Journal of Urban Economics, Elsevier, vol. 27(1), pages 111-130, January.
    2. Arnott, R. & de Palma, A. & Lindsey, R., 1990. "Departure time and route choice for the morning commute," Transportation Research Part B: Methodological, Elsevier, vol. 24(3), pages 209-228, June.
    3. Ben-Akiva, M. & Bolduc, D. & Bradley, M., 1993. "Estimation of Travel Choice Models with Randomly Distributed Values of Time," Papers 9303, Laval - Recherche en Energie.
    4. Vickrey, William S, 1969. "Congestion Theory and Transport Investment," American Economic Review, American Economic Association, vol. 59(2), pages 251-260, May.
    5. 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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    Citations

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    Cited by:

    1. Liu, Yang & Nie, Yu (Marco), 2011. "Morning commute problem considering route choice, user heterogeneity and alternative system optima," Transportation Research Part B: Methodological, Elsevier, vol. 45(4), pages 619-642.
    2. Naroditskiy, Victor & Steinberg, Richard, 2015. "Maximizing social welfare in congestion games via redistribution," LSE Research Online Documents on Economics 62771, London School of Economics and Political Science, LSE Library.
    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. Yang Liu & Xiaolei Guo & Hai Yang, 2009. "Pareto-improving and revenue-neutral congestion pricing schemes in two-mode traffic networks," Netnomics, Springer, vol. 10(1), pages 123-140, April.
    5. HolguiĀ­n-Veras, Jose & Cetin, Mecit & Xia, Shuwen, 2006. "A comparative analysis of US toll policy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(10), pages 852-871, December.
    6. Naroditskiy, Victor & Steinberg, Richard, 2015. "Maximizing social welfare in congestion games via redistribution," Games and Economic Behavior, Elsevier, vol. 93(C), pages 24-41.
    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. Nie, Yu (Marco) & Liu, Yang, 2010. "Existence of self-financing and Pareto-improving congestion pricing: Impact of value of time distribution," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(1), pages 39-51, January.
    9. repec:kap:netspa:v:17:y:2017:i:3:d:10.1007_s11067-017-9340-7 is not listed on IDEAS
    10. Zhi-Chun Li & Ya-Dong Wang & William Lam & Agachai Sumalee & Keechoo Choi, 2014. "Design of Sustainable Cordon Toll Pricing Schemes in a Monocentric City," Networks and Spatial Economics, Springer, vol. 14(2), pages 133-158, June.
    11. 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.
    12. Guo, Xiaolei & Yang, Hai, 2010. "Pareto-improving congestion pricing and revenue refunding with multiple user classes," Transportation Research Part B: Methodological, Elsevier, vol. 44(8-9), pages 972-982, September.
    13. Chen, Ruoyun & Nozick, Linda, 2016. "Integrating congestion pricing and transit investment planning," Transportation Research Part A: Policy and Practice, Elsevier, vol. 89(C), pages 124-139.
    14. Holgun-Veras, Jos & Cetin, Mecit, 2009. "Optimal tolls for multi-class traffic: Analytical formulations and policy implications," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(4), pages 445-467, May.
    15. Adler, Jeffrey L. & Satapathy, Goutam & Manikonda, Vikram & Bowles, Betty & Blue, Victor J., 2005. "A multi-agent approach to cooperative traffic management and route guidance," Transportation Research Part B: Methodological, Elsevier, vol. 39(4), pages 297-318, May.

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