Sustainable Toll Pricing and Capacity Investment in a Congested Road Network: A Goal Programming Approach
Publication: Journal of Transportation Engineering
Volume 140, Issue 12
Abstract
This paper addresses the road toll pricing and capacity investment problem in a congested road network in a multicriteria decision-making framework. A goal programming approach is used in which the following four major goals are considered: (1) cost recovery, (2) service level, (3) environmental, and (4) equity. The multiobjective road toll pricing and capacity investment problem is formulated as a bilevel goal programming model. The upper level of the model aims to minimize the deviations from stated goals for a given priority ranking of the goals, while the lower level is the road users’ route choice equilibrium problem. A simulated annealing-based solution algorithm is developed to solve the proposed model. Numerical results show that the priority structure of the goals can significantly affect the road toll pricing and capacity investment decisions. The simulated annealing-based solution algorithm outperforms the sensitivity analysis-based solution algorithm in terms of solution quality. The proposed methodology provides an avenue for understanding the trade-offs among conflicting objectives and for designing a financially and environmentally sustainable transportation system.
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Acknowledgments
The authors would like to thank three anonymous referees for their helpful comments and constructive suggestions on an earlier draft of the paper. The work described in this paper was jointly supported by grants from the National Natural Science Foundation of China (71171013, 71222107), the Doctoral Fund of Ministry of Education of China (20120142110044), the Research Grants Council of the Hong Kong Special Administrative Region, China (PolyU 5181/13E), the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (NRF-2010-0029446), and the Center for Modern Information Management Research at the Huazhong University of Science and Technology.
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Published In
Journal of Transportation Engineering
Volume 140 • Issue 12 • December 2014
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© 2014 American Society of Civil Engineers.
History
Received: Jan 2, 2014
Accepted: May 19, 2014
Published online: Jul 14, 2014
Published in print: Dec 1, 2014
Discussion open until: Dec 14, 2014
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