Alpha reliable network design problem: Efficiency versus equity

Anthony Chen, Seungkyu Ryu, Chao Yang, S. C. Wong

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review


Transportation network design problem (NDP) is inherently multi-objective in nature, because it involves a number of stakeholders with different needs. In addition, the decision-making process sometimes has to be made under uncertainty where certain inputs are not known exactly. In this paper, we develop an alpha reliable NDP model that considers efficiency and equity with demand uncertainty. To solve the multi-objective alpha reliable NDP model, we adopt the simulation-based multi-objective genetic algorithm (SMOGA) solution procedure that explicitly optimizes all objectives under demand uncertainty by simultaneously generating a family of optimal solutions known as the Pareto optimal solution set. Numerical examples are also presented to illustrate the tradeoff between efficiency and equity in the alpha reliable NDP framework.
Original languageEnglish
Title of host publicationProceedings of the 14th HKSTS International Conference
Subtitle of host publicationTransportation and Geography
Number of pages10
Publication statusPublished - 1 Dec 2009
Externally publishedYes
Event14th HKSTS International Conference: Transportation and Geography - Kowloon, Hong Kong
Duration: 10 Dec 200912 Dec 2009


Conference14th HKSTS International Conference: Transportation and Geography
Country/TerritoryHong Kong

ASJC Scopus subject areas

  • Transportation

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