Sustainable toll pricing and capacity investment in a congested road network: A goal programming approach

Yan Yin, Zhi Chun Li, Hing Keung William Lam, Keechoo Choi

Research output: Journal article publicationJournal articleAcademic researchpeer-review

12 Citations (Scopus)


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.
Original languageEnglish
Article number04014062
JournalJournal of Transportation Engineering
Issue number12
Publication statusPublished - 1 Jan 2014


  • Capacity investment
  • Goal programming
  • Road toll pricing
  • Sensitivity analysis based solution algorithm
  • Simulated annealing
  • Sustainability

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Transportation

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