A hybrid model of fuzzy and AHP for handling public assessments on transportation projects |
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Authors: | Turan Arslan |
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Institution: | (1) Department of Civil Engineering, Mustafa Kemal University, 31040 Hatay, Turkey |
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Abstract: | Having an effective public participation in transportation planning and project development processes has been a major concern
for developed countries. In the United States, for instance, all state Departments of Transportation are subject to the Transportation
Equity Act (TEA-21) that formally requires public involvement in transportation planning. Since transportation planning involves
public resources and values, judgments by the public should play a key role in determining final decisions. Therefore, all
these agencies are required not only to disseminate information to the public, but also to solicit and consider public opinion
in forming transportation policy. This work presents a decision support model, with public involvement and public oversight,
to help policy makers select appropriate transportation projects for implementation. Since focus groups will face multiple
objectives and inexact information in the process, a hybrid model of fuzzy logic and analytical hierarchy process (AHP) is
proposed. A set of ‘if–then’ rules based on Weber’s psycho-physical law of 1834 is presented to reason from fuzzy numbers
to capture essential subjective preferences, pairwise, among the alternatives. The AHP is then incorporated to estimate preference
allotments among alternatives. An example application of the suggested method is provided seeking public approval of an appropriate
public bus transportation system choosing between one run by municipal authorities and one run by private agencies to show
how this procedure works.
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Keywords: | AHP Decision support system Fuzzy system Public participation Transportation planning |
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