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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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    1. Ubeda, S. & Arcelus, F.J. & Faulin, J., 2011. "Green logistics at Eroski: A case study," International Journal of Production Economics, Elsevier, vol. 131(1), pages 44-51, May.
    2. Anna Nagurney, 2000. "Sustainable Transportation Networks," Books, Edward Elgar Publishing, number 2069.
    3. Verhoef, Erik T., 2002. "Second-best congestion pricing in general static transportation networks with elastic demands," Regional Science and Urban Economics, Elsevier, vol. 32(3), pages 281-310, May.
    4. Peter Bickel & Rainer Friedrich & Heike Link & Louise Stewart & Chris Nash, 2005. "Introducing Environmental Externalities into Transport Pricing: Measurement and Implications," Transport Reviews, Taylor & Francis Journals, vol. 26(4), pages 389-415, November.
    5. Wie, Byung-Wook & Tobin, Roger L., 1998. "Dynamic congestion pricing models for general traffic networks," Transportation Research Part B: Methodological, Elsevier, vol. 32(5), pages 313-327, June.
    6. Li, Hongqi & Lu, Yue & Zhang, Jun & Wang, Tianyi, 2013. "Trends in road freight transportation carbon dioxide emissions and policies in China," Energy Policy, Elsevier, vol. 57(C), pages 99-106.
    7. F. H. Knight, 1924. "Some Fallacies in the Interpretation of Social Cost," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 38(4), pages 582-606.
    8. Ian W. H. Parry & Margaret Walls & Winston Harrington, 2007. "Automobile Externalities and Policies," Journal of Economic Literature, American Economic Association, vol. 45(2), pages 373-399, June.
    9. Stella C. Dafermos, 1973. "Toll Patterns for Multiclass-User Transportation Networks," Transportation Science, INFORMS, vol. 7(3), pages 211-223, August.
    10. Arnott, Richard & de Palma, Andre & Lindsey, Robin, 1999. "Information and time-of-usage decisions in the bottleneck model with stochastic capacity and demand," European Economic Review, Elsevier, vol. 43(3), pages 525-548, March.
    11. Yang, Hai & Huang, Hai-Jun, 1998. "Principle of marginal-cost pricing: how does it work in a general road network?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 32(1), pages 45-54, January.
    12. Sang Nguyen & Clermont Dupuis, 1984. "An Efficient Method for Computing Traffic Equilibria in Networks with Asymmetric Transportation Costs," Transportation Science, INFORMS, vol. 18(2), pages 185-202, May.
    13. Macharis, Cathy & Van Hoeck, Ellen & Pekin, Ethem & van Lier, Tom, 2010. "A decision analysis framework for intermodal transport: Comparing fuel price increases and the internalisation of external costs," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(7), pages 550-561, August.
    14. Yang, Hai & Hai-Jun, Huang, 1997. "Analysis of the time-varying pricing of a bottleneck with elastic demand using optimal control theory," Transportation Research Part B: Methodological, Elsevier, vol. 31(6), pages 425-440, November.
    15. Jean-Pierre Nicolas & Damien David, 2009. "Passenger transport and CO2 emissions: What does the French transport survey tell us?," Post-Print halshs-00372439, HAL.
    16. Yildirim, Mehmet Bayram & Hearn, Donald W., 2005. "A first best toll pricing framework for variable demand traffic assignment problems," Transportation Research Part B: Methodological, Elsevier, vol. 39(8), pages 659-678, September.
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    Cited by:

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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. 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.
    8. 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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