01023229

Component

https://doi.org/10.3141/1935-14

http://scholar.google.com...+Pan&publication_year=2005

Efficient and timely response during accidents has received increased attention from practitioners and researchers. The siting of emergency service facilities (ESFs) plays a crucial role in determining the efficiency of safety protection and emergency response. This paper explores a novel multiobjective ant algorithm for the siting of ESFs. With the aid of the geographic information system, the algorithm finds a population of solutions, uses Pareto ranking to sort these solutions, and derives the Pareto front. It is demonstrated that the algorithm successfully captures a pool of nondominated solutions and thereby provides decision makers with a set of alternative solutions. The case study also demonstrates how decision makers may choose one “best” solution from the pool according to their preference or determinant criteria.

01023220

English

pp 120-129

2005

Transportation Research Record: Journal of the Transportation Research Board

0309094097

Print

Figures (5) ; References (33) ; Tables (2)

Algorithms; Alternatives analysis; Decision making; Geographic information systems

Emergency response facility location; Multiobjective optimization; Pareto optimum

Highways; Planning and Forecasting; I72: Traffic and Transport Planning

TRIS, TRB, ATRI

Apr 24 2006 1:01PM

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