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Continuous price and flow dynamics of tradable mobility credits

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  • Ye, Hongbo
  • Yang, Hai

Abstract

This study examines the price and flow dynamics under a tradable credit scheme, when the credits can be traded in a free market. A continuous dynamic model in a finite time horizon is proposed to describe the travelers’ learning behavior and the evolution of network flows and credit price, and then the existence and uniqueness of the equilibria are established. The conditions for stability and convergence of the dynamic system as the time horizon extends to infinity and the impact of limited implementation time horizon on the system behavior are investigated.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:transb:v:57:y:2013:i:c:p:436-450
    DOI: 10.1016/j.trb.2013.05.007
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    Cited by:

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    4. Miralinaghi, Mohammad & Peeta, Srinivas, 2016. "Multi-period equilibrium modeling planning framework for tradable credit schemes," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 93(C), pages 177-198.
    5. 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.
    6. Ren-Yong Guo & Hai-Jun Huang & Hai Yang, 2019. "Tradable Credit Scheme for Control of Evolutionary Traffic Flows to System Optimum: Model and its Convergence," Networks and Spatial Economics, Springer, vol. 19(3), pages 833-868, September.
    7. Guo, Ren-Yong & Yang, Hai & Huang, Hai-Jun & Tan, Zhijia, 2015. "Link-based day-to-day network traffic dynamics and equilibria," Transportation Research Part B: Methodological, Elsevier, vol. 71(C), pages 248-260.
    8. Peeta, Srinivas, 2016. "A marginal utility day-to-day traffic evolution model based on one-step strategic thinkingAuthor-Name: He, Xiaozheng," Transportation Research Part B: Methodological, Elsevier, vol. 84(C), pages 237-255.
    9. Liu, Wei & Geroliminis, Nikolas, 2017. "Doubly dynamics for multi-modal networks with park-and-ride and adaptive pricing," Transportation Research Part B: Methodological, Elsevier, vol. 102(C), pages 162-179.
    10. Louis Balzer & Ludovic Leclercq, 2021. "Modal equilibrium of a tradable credit scheme with a trip-based MFD and logit-based decision-making," Papers 2112.07277, arXiv.org, revised Apr 2022.
    11. Xi Lin & Yafeng Yin & Fang He, 2021. "Credit-Based Mobility Management Considering Travelers’ Budgeting Behaviors Under Uncertainty," Transportation Science, INFORMS, vol. 55(2), pages 297-314, March.
    12. Dong-Fan Xie & Xiao-Mei Zhao, 2020. "Traffic Dynamics and Mode Choice’s Delay Effect Under Traffic Restriction in Two-Mode Networks," Networks and Spatial Economics, Springer, vol. 20(3), pages 873-913, September.
    13. Zhang, Fang & Lu, Jian & Hu, Xiaojian & Fan, Ruochuan & Chen, Junlan, 2022. "Managing bottleneck congestion with tradable credit scheme under demand uncertainty," Research in Transportation Economics, Elsevier, vol. 95(C).
    14. Gao, Ge & Sun, Huijun & Wu, Jianjun & Liu, Xinmin & Chen, Weiya, 2018. "Park-and-ride service design under a price-based tradable credits scheme in a linear monocentric city," Transport Policy, Elsevier, vol. 68(C), pages 1-12.
    15. Xiao, Feng & Long, Jiancheng & Li, Lu & Kou, Gang & Nie, Yu, 2019. "Promoting social equity with cyclic tradable credits," Transportation Research Part B: Methodological, Elsevier, vol. 121(C), pages 56-73.
    16. Wu, Wen-Xiang & Huang, Hai-Jun, 2014. "Finding anonymous tolls to realize target flow pattern in networks with continuously distributed value of time," Transportation Research Part B: Methodological, Elsevier, vol. 65(C), pages 31-46.
    17. Ye, Hongbo & Xiao, Feng & Yang, Hai, 2021. "Day-to-day dynamics with advanced traveler information," Transportation Research Part B: Methodological, Elsevier, vol. 144(C), pages 23-44.
    18. Ren-Yong Guo & Hai Yang & Hai-Jun Huang & Zhijia Tan, 2016. "Day-to-Day Flow Dynamics and Congestion Control," Transportation Science, INFORMS, vol. 50(3), pages 982-997, August.
    19. Siyu Chen & Ravi Seshadri & Carlos Lima Azevedo & Arun P. Akkinepally & Renming Liu & Andrea Araldo & Yu Jiang & Moshe E. Ben-Akiva, 2021. "Market Design for Tradable Mobility Credits," Papers 2101.00669, arXiv.org, revised Sep 2022.
    20. Ye, Hongbo & Yang, Hai & Tan, Zhijia, 2015. "Learning marginal-cost pricing via a trial-and-error procedure with day-to-day flow dynamics," Transportation Research Part B: Methodological, Elsevier, vol. 81(P3), pages 794-807.
    21. Nie, Yu (Marco), 2017. "On the potential remedies for license plate rationing," Economics of Transportation, Elsevier, vol. 9(C), pages 37-50.
    22. Louis Balzer & Ludovic Leclercq, 2024. "Modal dynamic equilibrium under different demand management schemes," Transportation, Springer, vol. 51(2), pages 529-566, April.
    23. Li, Pengbo & Tian, Lijun & Xiao, Feng & Zhu, Hongwei, 2022. "Can day-to-day dynamic model be solved analytically? New insights on portraying equilibrium and accommodating autonomous vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 166(C), pages 374-395.

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