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Credit charge-cum-reward scheme for green multi-modal mobility

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Listed:
  • Ding, Hongxing
  • Yang, Hai
  • Qin, Xiaoran
  • Xu, Hongli

Abstract

To promote green mobility and alleviate congestion and emissions, this study proposes a credit charge-cum-reward (CCR) scheme where the government determines mode-specific credit charging and rewarding rates together with charging and redemption prices to achieve regulation objectives. Over a CCR scheme period, travelers choose either driving by consuming credits or taking transit to accumulate credits to minimize individual travel costs. At the end of the period, the individual credit balance will be settled by the government at a charging (redemption) price for credit deficits (surpluses). From the viewpoint of travelers, we consider their heterogeneity in value of time and characterize their periodic mode usage equilibrium by formulating a decision optimization problem. From the viewpoint of the government, we discuss the design of CCR schemes without and with revenue constraints. We also investigate the Pareto-improvement and revenue-neutrality of CCR schemes. We prove theoretically and numerically that the proposed CCR scheme flexibly facilitates multi-modal traffic demand management by regulating travelers’ periodic mode usage behavior via charging and rewarding rates and differentiated charging and redemption prices.

Suggested Citation

  • Ding, Hongxing & Yang, Hai & Qin, Xiaoran & Xu, Hongli, 2023. "Credit charge-cum-reward scheme for green multi-modal mobility," Transportation Research Part B: Methodological, Elsevier, vol. 178(C).
  • Handle: RePEc:eee:transb:v:178:y:2023:i:c:s0191261523001777
    DOI: 10.1016/j.trb.2023.102852
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    References listed on IDEAS

    as
    1. 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.
    2. Coria, Jessica & Zhang, Xiao-Bing, 2017. "Optimal environmental road pricing and daily commuting patterns," Transportation Research Part B: Methodological, Elsevier, vol. 105(C), pages 297-314.
    3. Fan, Wenbo & Xiao, Feng & Nie, Yu (Macro), 2022. "Managing bottleneck congestion with tradable credits under asymmetric transaction cost," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 158(C).
    4. Julie Bulteau, 2012. "Tradable emission permit system for urban motorists: The neo-classical standard model revisited," Post-Print hal-04362256, HAL.
    5. Yang, Hai & Shao, Chaoyi & Wang, Hai & Ye, Jieping, 2020. "Integrated reward scheme and surge pricing in a ridesourcing market," Transportation Research Part B: Methodological, Elsevier, vol. 134(C), pages 126-142.
    6. Chen, Daqiang & Ignatius, Joshua & Sun, Danzhi & Goh, Mark & Zhan, Shalei, 2018. "Impact of congestion pricing schemes on emissions and temporal shift of freight transport," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 118(C), pages 77-105.
    7. 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.
    8. 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.
    9. Dao-Li Zhu & Hai Yang & Chang-Min Li & Xiao-Lei Wang, 2015. "Properties of the Multiclass Traffic Network Equilibria Under a Tradable Credit Scheme," Transportation Science, INFORMS, vol. 49(3), pages 519-534, August.
    10. 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.
    11. Feng Xiao & H. M. Zhang, 2014. "Pareto-Improving and Self-Sustainable Pricing for the Morning Commute with Nonidentical Commuters," Transportation Science, INFORMS, vol. 48(2), pages 159-169, May.
    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. 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.
    14. Li, Zhi-Chun & Wang, Ya-Dong, 2018. "Analysis of multimodal two-dimensional urban system equilibrium for cordon toll pricing and bus service design," Transportation Research Part B: Methodological, Elsevier, vol. 111(C), pages 244-265.
    15. 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.
    16. Wadud, Zia, 2011. "Personal tradable carbon permits for road transport: Why, why not and who wins?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(10), pages 1052-1065.
    17. Yang, Hai & Wang, Xiaolei, 2011. "Managing network mobility with tradable credits," Transportation Research Part B: Methodological, Elsevier, vol. 45(3), pages 580-594, March.
    18. 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.
    19. Rouwendal, Jan & Verhoef, Erik T. & Knockaert, Jasper, 2012. "Give or take? Rewards versus charges for a congested bottleneck," Regional Science and Urban Economics, Elsevier, vol. 42(1-2), pages 166-176.
    20. Bulteau, Julie, 2012. "Tradable emission permit system for urban motorists: The neo-classical standard model revisited," Research in Transportation Economics, Elsevier, vol. 36(1), pages 101-109.
    21. De Borger, Bruno & Glazer, Amihai & Proost, Stef, 2022. "Strategic behavior under tradeable driving permits and congestion tolls: A political economy model," Journal of Urban Economics, Elsevier, vol. 128(C).
    22. H. M. Abdul Aziz & Satish V. Ukkusuri & Xianyuan Zhan, 2017. "Determining the Impact of Personal Mobility Carbon Allowance Schemes in Transportation Networks," Networks and Spatial Economics, Springer, vol. 17(2), pages 505-545, June.
    23. Yang, Hai & Tang, Yili, 2018. "Managing rail transit peak-hour congestion with a fare-reward scheme," Transportation Research Part B: Methodological, Elsevier, vol. 110(C), pages 122-136.
    24. 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.
    25. Tang, Yili & Jiang, Yu & Yang, Hai & Nielsen, Otto Anker, 2020. "Modeling and optimizing a fare incentive strategy to manage queuing and crowding in mass transit systems," Transportation Research Part B: Methodological, Elsevier, vol. 138(C), pages 247-267.
    26. 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.
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