A fuzzy AHP model for assessing the condition of metro stations
Service quality, performance, and attractiveness of transit systems are related to the condition of their infrastructures; it is therefore desirable for transit infrastructures to be in the best possible condition and offer an attractive, safe, and friendly environment for travelers. This paper presents a model for rating the condition and performance of transit infrastructures and particularly metro stations; the model is derived based on the opinion of a group of experts (group decision making) and explicitly considers uncertainty. Data from the Athens Metro system are used and a Fuzzy Analytical Hierarchy Process technique is exploited in an effort to capture inherent uncertainties and ambiguities found in expert opinions. Results were compared to those of regular AHP and it was found that based upon the degree of uncertainty, differences in resulting weights could be up to 8%.
Keywordsmetro stations condition rating fuzzy AHP uncertainty
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