Research on Urban Road Congestion Pricing Strategy Considering Carbon Dioxide Emissions
Yitian Wang,
Zixuan Peng,
Keming Wang,
Xiaolin Song,
Baozhen Yao and
Tao Feng
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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
Sustainability, 2015, vol. 7, issue 8, 1-20
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.
Keywords: traffic congestion pricing; carbon dioxide emissions; bi-level programming model; shuffled frog leaping algorithm (SFLA) (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:7:y:2015:i:8:p:10534-10553:d:53795
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