z-logo
open-access-imgOpen Access
Evaluation of Sustainable Mobility Measures Using Fuzzy COPRAS Method
Author(s) -
Tanja Parezanović,
Nataša Bojković,
Marijana Petrović,
Snežana Pejčić Tarle
Publication year - 2016
Publication title -
management journal of sustainable business and management solutions in emerging economies
Language(s) - English
Resource type - Journals
eISSN - 2406-0658
pISSN - 1820-0222
DOI - 10.7595/management.fon.2016.0006
Subject(s) - fuzzy logic , computer science , business , artificial intelligence
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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom