Alpha reliable network design problem: Efficiency versus equity

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

Alpha reliable network design problem: Efficiency versus equity

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

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

Abstract

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 language	English
Title of host publication	Proceedings of the 14th HKSTS International Conference
Subtitle of host publication	Transportation and Geography
Pages	883-892
Number of pages	10
Volume	2
Publication status	Published - 1 Dec 2009
Externally published	Yes
Event	14th HKSTS International Conference: Transportation and Geography - Kowloon, Hong Kong Duration: 10 Dec 2009 → 12 Dec 2009

Conference

Conference	14th HKSTS International Conference: Transportation and Geography
Country/Territory	Hong Kong
City	Kowloon
Period	10/12/09 → 12/12/09

ASJC Scopus subject areas

Transportation

Cite this

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title = "Alpha reliable network design problem: Efficiency versus equity",

abstract = "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.",

author = "Anthony Chen and Seungkyu Ryu and Chao Yang and Wong, {S. C.}",

year = "2009",

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day = "1",

language = "English",

isbn = "9789889884772",

volume = "2",

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Alpha reliable network design problem: Efficiency versus equity. / Chen, Anthony; Ryu, Seungkyu; Yang, Chao et al.
Proceedings of the 14th HKSTS International Conference: Transportation and Geography. Vol. 2 2009. p. 883-892.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

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AU - Chen, Anthony

AU - Ryu, Seungkyu

AU - Yang, Chao

AU - Wong, S. C.

PY - 2009/12/1

Y1 - 2009/12/1

N2 - 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.

AB - 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.

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M3 - Conference article published in proceeding or book

SN - 9789889884772

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BT - Proceedings of the 14th HKSTS International Conference

T2 - 14th HKSTS International Conference: Transportation and Geography

Y2 - 10 December 2009 through 12 December 2009

ER -

Alpha reliable network design problem: Efficiency versus equity

Abstract

Conference

ASJC Scopus subject areas

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