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Design of more equitable congestion pricing and tradable credit schemes for multimodal transportation networks

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  • Wu, Di
  • Yin, Yafeng
  • Lawphongpanich, Siriphong
  • Yang, Hai

Abstract

This paper develops a modeling framework that considers the effect of income on travelers’ choices of trip generation, mode and route on multimodal transportation networks and explicitly captures the distributional impacts of congestion–mitigation policies on different income and geographic groups. The modeling framework is applied to design more equitable yet efficient congestion pricing and tradable credit schemes. The design models are formulated as mathematical programs with equilibrium constraints, and solved by derivative-free solution algorithms. Numerical examples are presented to demonstrate the models and offer insight on the mechanisms of achieving better equity under congestion pricing or tradable credit schemes.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:transb:v:46:y:2012:i:9:p:1273-1287
    DOI: 10.1016/j.trb.2012.05.004
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    References listed on IDEAS

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    1. 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.
    2. Gilles Duranton & Matthew A. Turner, 2011. "The Fundamental Law of Road Congestion: Evidence from US Cities," American Economic Review, American Economic Association, vol. 101(6), pages 2616-2652, October.
    3. Bureau, Benjamin & Glachant, Matthieu, 2008. "Distributional effects of road pricing: Assessment of nine scenarios for Paris," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(7), pages 994-1007, August.
    4. Wong, Linda, 2009. "Linking Matlab and GAMS: A Supplement," Working Papers 50783, University of Victoria, Resource Economics and Policy.
    5. Karlström, Anders & Franklin, Joel P., 2009. "Behavioral adjustments and equity effects of congestion pricing: Analysis of morning commutes during the Stockholm Trial," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(3), pages 283-296, March.
    6. Viegas, José M., 2001. "Making urban road pricing acceptable and effective: searching for quality and equity in urban mobility," Transport Policy, Elsevier, vol. 8(4), pages 289-294, October.
    7. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, January.
    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. Linda Wong, 2009. "Linking Matlab and GAMS: A Supplement," Working Papers 2009-03, University of Victoria, Department of Economics, Resource Economics and Policy Analysis Research Group.
    10. Wu, Di & Yin, Yafeng & Lawphongpanich, Siriphong, 2011. "Pareto-improving congestion pricing on multimodal transportation networks," European Journal of Operational Research, Elsevier, vol. 210(3), pages 660-669, May.
    11. John K. Dagsvik & Anders Karlström, 2005. "Compensating Variation and Hicksian Choice Probabilities in Random Utility Models that are Nonlinear in Income," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(1), pages 57-76.
    12. 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.
    13. 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.
    14. Phil Goodwin & Robert Noland, 2003. "Building new roads really does create extra traffic: a response to Prakash et al," Applied Economics, Taylor & Francis Journals, vol. 35(13), pages 1451-1457.
    15. A. Custódio & H. Rocha & L. Vicente, 2010. "Incorporating minimum Frobenius norm models in direct search," Computational Optimization and Applications, Springer, vol. 46(2), pages 265-278, June.
    16. 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.
    17. Zhang, Xiaoning & Yang, Hai & Huang, Hai-Jun, 2011. "Improving travel efficiency by parking permits distribution and trading," Transportation Research Part B: Methodological, Elsevier, vol. 45(7), pages 1018-1034, August.
    18. Yang, Hai & Wang, Xiaolei, 2011. "Managing network mobility with tradable credits," Transportation Research Part B: Methodological, Elsevier, vol. 45(3), pages 580-594, March.
    19. 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.
    20. Theodore Tsekeris & Stefan Voß, 2009. "Design and evaluation of road pricing: state-of-the-art and methodological advances," Netnomics, Springer, vol. 10(1), pages 5-52, April.
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