Evaluation of Sustainable Mobility Measures Using Fuzzy COPRAS Method

Authors

  • Tanja Parezanović University of Belgrade, Faculty of Transport and Traffic Engineering
  • Nataša Bojković University of Belgrade, Faculty of Transport and Traffic Engineering
  • Marijana Petrović University of Belgrade, Faculty of Transport and Traffic Engineering
  • Snežana Pejčić Tarle University of Belgrade, Faculty of Transport and Traffic Engineering

Keywords:

evaluation, fuzzy COPRAS, measure, rank, sustainable mobility

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.

Author Biographies

Tanja Parezanović, University of Belgrade, Faculty of Transport and Traffic Engineering

Tanja Parezanović is a research and teaching assistant and a PhD student at the Faculty of Transport and Traffic Engineering, the University of Belgrade, Serbia. She is the author or co-author of a number of scientific papers. Her research area is sustainable transportation systems and measures for achieving them.

Nataša Bojković, University of Belgrade, Faculty of Transport and Traffic Engineering

Dr Nataša Bojković is an assistant professor at the Faculty of Transport and Traffic Engineering, the University of Belgrade, Serbia. She is the author or co-author of a number of papers in peer-reviewed international and national journals, including invited papers as well as conference proceedings. Her research area is decision making models in transport and communications, especially in the field of economics and policy.

Marijana Petrović, University of Belgrade, Faculty of Transport and Traffic Engineering

Dr Marijana Petrović is an assistant professor at the Faculty of Transport and Traffic Engineering, the University of Belgrade, Serbia. She is the author or co-author of a number of scientific papers. Her research area is engineering management and policy in transport and communications, with special interest in policy modelling with the application of mathematical models and software solutions.

Snežana Pejčić Tarle, University of Belgrade, Faculty of Transport and Traffic Engineering

Dr Snežana Pejčić Tarle is an associate professor at the Faculty of Transport and Traffic Engineering, the University of Belgrade, Serbia. She is the author or co-author of a number of scientific papers and books in the field of engineering management, policy analysis and sustainable development. She is especially interested in designing innovative tools and methods for policy monitoring and evaluation.

Published

2016-05-20

How to Cite

Parezanović, T., Bojković, N., Petrović, M., & Pejčić Tarle, S. (2016). Evaluation of Sustainable Mobility Measures Using Fuzzy COPRAS Method. Management:Journal of Sustainable Business and Management Solutions in Emerging Economies, 21(78), 53–62. Retrieved from https://management.fon.bg.ac.rs/index.php/mng/article/view/46

Issue

Section

Articles

Similar Articles

<< < 4 5 6 7 8 9 

You may also start an advanced similarity search for this article.