Evaluation of Sustainable Mobility Measures Using Fuzzy COPRAS Method

Abstract

The process of decision making in a complex system such as transport is often conducted in the presence of a large number of criteria that are often conflicting and whose values are expressed in different units. This paper presents a multi-criteria decision making (MCDM) approach for evaluating sustainable mobility measures based on qualitative information. The usage of both types of criteria (or only qualitative) in the process of evaluation of sustainable mobility measures is possible thanks to the fuzzy expansion of the multi-criteria decision making methods. The proposed procedure for the evaluation of sustainable mobility measures encompasses selection of measures, criteria and ranking selected measures using the fuzzy COPRAS method. The aim of the proposed method is ranking sustainable mobility measures on the basis of previous experiences. The method enables cities that have not yet implemented these measures to gain an insight into what to expect and establish priorities. The paper demonstrates the potentials and suitability of fuzzy COPRAS in making decisions on mobility measures. Accordingly, twenty six measures are evaluated and the most promising ones have been obtained.