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Research on Urban Road Congestion Pricing Strategy Considering Carbon Dioxide Emissions

Author

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  • Yitian Wang

    (Transportation Management College, Dalian Maritime University, Dalian 116026, China)

  • Zixuan Peng

    (Transportation Management College, Dalian Maritime University, Dalian 116026, China)

  • Keming Wang

    (Transportation Management College, Dalian Maritime University, Dalian 116026, China)

  • Xiaolin Song

    (Transportation Management College, Dalian Maritime University, Dalian 116026, China)

  • Baozhen Yao

    (School of Automotive Engineering, Dalian University of Technology, Dalian 116024, China)

  • Tao Feng

    (Urban Planning Group, Department of the Built Environment, Eindhoven University of Technology, P.O. Box 513, Vertigo 8.16, 5600 MB Eindhoven, The Netherlands)

Abstract

Congestion pricing strategy has been recognized as an effective countermeasure in the practical field of urban traffic congestion mitigation. In this paper, a bi-level programming model considering carbon dioxide emission is proposed to mitigate traffic congestion and reduce carbon dioxide emissions. The objective function of the upper level model is to minimize the sum of travel costs and the carbon dioxide emissions costs. The lower level is a multi-modal transportation network equilibrium model. To solve the model, the method of successive averages (MSA) and the shuffled frog leaping algorithm (SFLA) are introduced. The proposed method and algorithm are tested through the numerical example. The results show that the proposed congestion pricing strategy can mitigate traffic congestion and reduce carbon emissions effectively.

Suggested Citation

  • Yitian Wang & Zixuan Peng & Keming Wang & Xiaolin Song & Baozhen Yao & Tao Feng, 2015. "Research on Urban Road Congestion Pricing Strategy Considering Carbon Dioxide Emissions," Sustainability, MDPI, vol. 7(8), pages 1-20, August.
    • Handle: RePEc:gam:jsusta:v:7:y:2015:i:8:p:10534-10553:d:53795
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    Cited by:

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    3. Shatanawi, Mohamad & Alatawneh, Anas & Mészáros, Ferenc, 2022. "Implications of static and dynamic road pricing strategies in the era of autonomous and shared autonomous vehicles using simulation-based dynamic traffic assignment: The case of Budapest," Research in Transportation Economics, Elsevier, vol. 95(C).
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    5. Shahriar Afandizadeh & Seyed Ebrahim Abdolmanafi, 2016. "Development of a Model for a Cordon Pricing Scheme Considering Environmental Equity: A Case Study of Tehran," Sustainability, MDPI, vol. 8(2), pages 1-19, February.
    6. Mohamad Shatanawi & Mohammed Hajouj & Belal Edries & Ferenc Mészáros, 2022. "The Interrelationship between Road Pricing Acceptability and Self-Driving Vehicle Adoption: Insights from Four Countries," Sustainability, MDPI, vol. 14(19), pages 1-32, October.
    7. Tan, Yu & Sun, Zhanbo & Zhu, Baichuan & Qin, Ziye & Zhao, Yu & Wang, Xuting, 2024. "Minimize population exposure to vehicle-generated emissions by road pricing," Transport Policy, Elsevier, vol. 148(C), pages 15-30.
    8. Yibin Ao & Chuan Chen & Dujuan Yang & Yan Wang, 2018. "Relationship between Rural Built Environment and Household Vehicle Ownership: An Empirical Analysis in Rural Sichuan, China," Sustainability, MDPI, vol. 10(5), pages 1-18, May.
    9. Marazi, Naveed Farooz & Majumdar, Bandhan Bandhu & Sahu, Prasanta K. & Potoglou, Dimitris, 2022. "Congestion pricing acceptability among commuters: An Indian perspective," Research in Transportation Economics, Elsevier, vol. 95(C).

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