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Green transportation implementation through distance-based road pricing

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  • Chang, Tang-Hsien
  • Tseng, Jen-Sung
  • Hsieh, Tung-Hung
  • Hsu, Yu-Ting
  • Lu, Ying-Chih

Abstract

The implementation of electronic toll collection (ETC) over freeways not only enables nonstop traffic flows through toll collection zones but also facilitates more flexible schemes for road pricing, such as distance-based and time-based schemes, as both the on-ramp and off-ramp time stamps of a trip can be detected. Based on such an ETC environment, this study develops a road pricing model which considers the perspectives of road users, the government, and the ETC agent, seeking to attain greener transportation by leveraging the external costs related to environmental impact and accident potential. Thereupon, a Green Safety Indicator (GSI) is proposed to comprehensively account for the service level of freeway traffic. The optimal solution for the benefits generated from three scenarios are determined against GSI-based equilibria, which can maintain the revenue for the government, offer the ETC agent higher profits, and allow road users off-peak discounts, thereby promoting a tripartite win–win situation among stakeholders.

Suggested Citation

  • Chang, Tang-Hsien & Tseng, Jen-Sung & Hsieh, Tung-Hung & Hsu, Yu-Ting & Lu, Ying-Chih, 2018. "Green transportation implementation through distance-based road pricing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 53-64.
  • Handle: RePEc:eee:transa:v:111:y:2018:i:c:p:53-64
    DOI: 10.1016/j.tra.2018.02.015
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    References listed on IDEAS

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    1. Wang, Judith Y.T. & Lindsey, Robin & Yang, Hai, 2011. "Nonlinear pricing on private roads with congestion and toll collection costs," Transportation Research Part B: Methodological, Elsevier, vol. 45(1), pages 9-40, January.
    2. Heres-Del-Valle, David & Niemeier, Deb, 2011. "CO2 emissions: Are land-use changes enough for California to reduce VMT? Specification of a two-part model with instrumental variables," Transportation Research Part B: Methodological, Elsevier, vol. 45(1), pages 150-161, January.
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    Cited by:

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    3. Bi, Huibo & Shang, Wen-Long & Chen, Yanyan & Wang, Kezhi & Yu, Qing & Sui, Yi, 2021. "GIS aided sustainable urban road management with a unifying queueing and neural network model," Applied Energy, Elsevier, vol. 291(C).
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    6. Inglesi-Lotz, R. & Dogan, Eyup & Nel, J. & Tzeremes, Panayiotis, 2023. "Connectedness and spillovers in the innovation network of green transportation," Energy Policy, Elsevier, vol. 180(C).
    7. Mostafa Pazoki & Hamed Samarghandi & Mehdi Behroozi, 2023. "Increasing Supply Chain Resiliency Through Equilibrium Pricing and Stipulating Transportation Quota Regulation," Papers 2308.00681, arXiv.org, revised Oct 2023.
    8. Katrien De Langhe & Hilde Meersman & Christa Sys & Eddy Van de Voorde & Thierry Vanelslander, 2019. "How to make urban freight transport by tram successful?," Journal of Shipping and Trade, Springer, vol. 4(1), pages 1-23, December.
    9. Danzhu Wang & Lingyun Zhou & Huimin Zhang & Xiaokang Liang, 2021. "A Bi-Level Model for Green Freight Transportation Pricing Strategy Considering Enterprise Profit and Carbon Emissions," Sustainability, MDPI, vol. 13(12), pages 1-20, June.
    10. Mariano Gallo & Mario Marinelli, 2020. "Sustainable Mobility: A Review of Possible Actions and Policies," Sustainability, MDPI, vol. 12(18), pages 1-39, September.
    11. Wang, Zhenjie & Zhang, Dezhi & Tavasszy, Lóránt & Fazi, Stefano, 2023. "Integrated multimodal freight service network design and pricing with a competing service integrator and heterogeneous shipper classes," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).

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