A Comparative Evaluation of Multi-Criteria Analysis Methods for Sustainable Transport
Elzbieta Broniewicz and
Karolina Ogrodnik
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Elzbieta Broniewicz: Faculty of Civil Engineering and Environmental Sciences, Bialystok University of Technology, Wiejska St. 45A, 15-351 Bialystok, Poland
Karolina Ogrodnik: Faculty of Civil Engineering and Environmental Sciences, Bialystok University of Technology, Wiejska St. 45A, 15-351 Bialystok, Poland
Energies, 2021, vol. 14, issue 16, 1-23
Abstract:
The article pertains to the utilization of the application potential of MCDM/MCDA (Multi-Criteria Decision Making/Multi-Criteria Decision Analysis) methods in decision-making problems in the field of transport in light of sustainable development. The article consists of a theoretical and an empirical part. As part of the literature studies, a review was carried out on the latest applications of MCDM/MCDA methods for decision-making problems in the field of transport. In the empirical part, a multi-criteria analysis of the placement selection for a strip of expressway located in north-eastern Poland was carried out. For this purpose, a hybrid approach was used, consisting of three selected MCDM/MCDA methods: DEMATEL, REMBRANDT, and VIKOR. The ranking was compared with the results achieved in the EIA report of the investment and the results were obtained by using a different set of MCDM/MCDA methods that were proposed in the first part of the research, i.e., AHP, Fuzzy AHP, TOPSIS, and PROMETHEE. The performed multi-criteria analyses allowed for an eventual multi-dimensional evaluation of the most popular MCDM/MCDA methods currently applied in the field of transport.
Keywords: MCDM/MCDA methods; multi-criteria analysis; sustainable transport; comparative analysis (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (7)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:14:y:2021:i:16:p:5100-:d:617180
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