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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
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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.

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Bibliographic Info

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

Volume (Year): 46 (2012)
Issue (Month): 9 ()
Pages: 1273-1287

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Handle: RePEc:eee:transb:v:46:y:2012:i:9:p:1273-1287

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Related research

Keywords: Congestion pricing; Tradable credits; Equity; Multimodal transportation networks;

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. 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.
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  15. 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.
  16. 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.
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  18. 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.
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Citations

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Cited by:
  1. Ye, Hongbo & Yang, Hai, 2013. "Continuous price and flow dynamics of tradable mobility credits," Transportation Research Part B: Methodological, Elsevier, vol. 57(C), pages 436-450.
  2. 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.
  3. 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.
  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.

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