A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
A multicriteria method for transportation investment planning
Abstract Transportation investment planning may be described as a multicriteria decision problem because planning projects typically have two or more conflicting objectives. The transportation planning process entails the evaluation of a discrete set of alternatives with respect to these conflicting objectives. This paper argues that, since under these circumstances optimal solutions do not exist, the outcome of the evaluation process should be the identification of a small set of alternatives, termed best compromise alternatives, which come closest to achieving the stated objectives. Concordance analysis, a discrete multicriteria evaluation method, is utilized to identify the best compromise alternatives, defined as those alternatives which are non-dominated across a range of objective weights. An empirical application of the method is conducted utilizing data from an Orange County, California, transportation corridor study. Empirical results show that the method identified a small set of significantly different best compromise transportation investment alternatives. A sensitivity analysis of the results is also presented.
A multicriteria method for transportation investment planning
Abstract Transportation investment planning may be described as a multicriteria decision problem because planning projects typically have two or more conflicting objectives. The transportation planning process entails the evaluation of a discrete set of alternatives with respect to these conflicting objectives. This paper argues that, since under these circumstances optimal solutions do not exist, the outcome of the evaluation process should be the identification of a small set of alternatives, termed best compromise alternatives, which come closest to achieving the stated objectives. Concordance analysis, a discrete multicriteria evaluation method, is utilized to identify the best compromise alternatives, defined as those alternatives which are non-dominated across a range of objective weights. An empirical application of the method is conducted utilizing data from an Orange County, California, transportation corridor study. Empirical results show that the method identified a small set of significantly different best compromise transportation investment alternatives. A sensitivity analysis of the results is also presented.
A multicriteria method for transportation investment planning
Giuliano, Genevieve (author)
Transportation Research Part A: General ; 19 ; 29-41
1985-01-01
13 pages
Article (Journal)
Electronic Resource
English
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