Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/25291
Title: Sustainable toll pricing and capacity investment in a congested road network : a goal programming approach
Authors: Yin, Y
Li, ZC
Lam, WHK 
Choi, K
Keywords: Capacity investment
Goal programming
Road toll pricing
Sensitivity analysis based solution algorithm
Simulated annealing
Sustainability
Issue Date: 2014
Publisher: American Society of Civil Engineers
Source: Journal of transportation engineering, 2014, v. 140, no. 12, 04014062 How to cite?
Journal: Journal of transportation engineering 
Abstract: This paper addresses the road toll pricing and capacity investment problem in a congested road network in a multicriteria decisionmaking 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.
URI: http://hdl.handle.net/10397/25291
ISSN: 0733-947X
EISSN: 1943-5436
DOI: 10.1061/(ASCE)TE.1943-5436.0000720
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