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Urban Traffic Congestion Pricing Model with the Consideration of Carbon Emissions Cost

Author

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  • Jian Wang

    (School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China)

  • Libing Chi

    (School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China)

  • Xiaowei Hu

    (School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China)

  • Hongfei Zhou

    (School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China)

Abstract

As one of the most effective traffic demand management opinions, congestion pricing can reduce private car travel demand and the associated carbon dioxide emissions. First, we summarized the status quo of transport carbon dioxide emission charges and congestion pricing, and then, we analyzed the characteristics of urban transport carbon dioxide emissions. Then, we proposed a (pricing) framework in which carbon emission costs would be considered as part of the generalized cost of travel. Based on this framework, this paper developed a bi-level mathematical model to optimize consumer surplus, using congestion and carbon emission charges as the control variables. A dissect search algorithm was used to solve the bi-level program model, and a numerical example was given to illustrate the methodology. This paper incorporates the emission pricing into the congestion pricing model, while considering two modes, and puts forward suitable proposals for the implementation of an urban traffic congestion pricing policy in China.

Suggested Citation

  • Jian Wang & Libing Chi & Xiaowei Hu & Hongfei Zhou, 2014. "Urban Traffic Congestion Pricing Model with the Consideration of Carbon Emissions Cost," Sustainability, MDPI, vol. 6(2), pages 1-16, February.
    • Handle: RePEc:gam:jsusta:v:6:y:2014:i:2:p:676-691:d:32714
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    References listed on IDEAS

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