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

Author

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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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    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. repec:eee:transb:v:108:y:2018:i:c:p:261-280 is not listed on IDEAS
    3. Wang, Hua & Zhang, Xiaoning, 2016. "Joint implementation of tradable credit and road pricing in public-private partnership networks considering mixed equilibrium behaviors," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 94(C), pages 158-170.
    4. Karsu, Özlem & Morton, Alec, 2015. "Inequity averse optimization in operational research," European Journal of Operational Research, Elsevier, vol. 245(2), pages 343-359.
    5. Qian Liu & Chongchao Huang, 2016. "Modeling Business Land Use Equilibrium for Small Firms’ Relocation and Consumers’ Trip in a Transportation Network," Networks and Spatial Economics, Springer, vol. 16(2), pages 497-524, June.
    6. 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.
    7. Laval, Jorge A. & Cho, Hyun W. & Muñoz, Juan C. & Yin, Yafeng, 2015. "Real-time congestion pricing strategies for toll facilities," Transportation Research Part B: Methodological, Elsevier, vol. 71(C), pages 19-31.
    8. 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.
    9. repec:kap:netspa:v:17:y:2017:i:3:d:10.1007_s11067-017-9340-7 is not listed on IDEAS
    10. 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.
    11. Xu, Meng & Grant-Muller, Susan, 2016. "Trip mode and travel pattern impacts of a Tradable Credits Scheme: A case study of Beijing," Transport Policy, Elsevier, vol. 47(C), pages 72-83.
    12. repec:eee:transb:v:101:y:2017:i:c:p:185-212 is not listed on IDEAS

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