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Sustainability 2014, 6(2), 676-691; doi:10.3390/su6020676
Article

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

,
, *  and
School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China
* Author to whom correspondence should be addressed.
Received: 6 November 2013 / Revised: 3 January 2014 / Accepted: 24 January 2014 / Published: 5 February 2014
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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.
Keywords: congestion pricing; carbon dioxide emission charge; bi-level program; urban transportation; policy; China congestion pricing; carbon dioxide emission charge; bi-level program; urban transportation; policy; China
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Wang, J.; Chi, L.; Hu, X.; Zhou, H. Urban Traffic Congestion Pricing Model with the Consideration of Carbon Emissions Cost. Sustainability 2014, 6, 676-691.

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