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Multicriteria Approach to Sustainable Transport Evaluation under Incomplete Knowledge: Electric Bikes Case Study

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  • Wojciech Sałabun

    (Department of Artificial Intelligence Methods and Applied Mathematics, Faculty of Computer Science and Information Technology, West Pomeranian University of Technology in Szczecin ul. Żołnierska 49, 71-210 Szczecin, Poland)

  • Krzysztof Palczewski

    (Department of Artificial Intelligence Methods and Applied Mathematics, Faculty of Computer Science and Information Technology, West Pomeranian University of Technology in Szczecin ul. Żołnierska 49, 71-210 Szczecin, Poland)

  • Jarosław Wątróbski

    (Department of Information Systems Engineering in the Faculty of Economics and Management, University of Szczecin, Mickiewicza 64, 71-101 Szczecin, Poland)

Abstract

The problem of sustainable city transport is a growing field of study, and will be addressed in this paper. With the rising significance of present transportation systems’ negative externalities on the environment, such as the unavoidable increase of air pollution levels, cities seek sustainable means of transport and reduction of combustion cars’ utilization. Moreover, improvements in the area of renewable energy sources have led to rising trends in sustainability, driving the usage and production of electric vehicles. Currently, there is an increasing tendency of looking for more sustainable transport solutions, especially in highly congested urban areas. It seems that in that case, electric bicycles can be a good option, as they yield more benefits in comparison to cars, especially combustion cars. In this paper, we identify an assessment model for the selection of the best electric bicycle for sustainable city transport by using incomplete knowledge. For this purpose, the Characteristic Objects METhod (COMET) is used. The COMET method, proven effective in the assessment of sustainable challenges, is a modern approach, utterly free of the rank reversal phenomenon. The evaluated model considers investigated multiple criteria and is independent of chosen alternatives in the criteria domain. Hence, it can be easily modified and extended for diverse sets of decisional variants. Moreover, the presented approach allows assessing alternatives under conditions of incomplete knowledge, where some data are presented as possible interval numbers.

Suggested Citation

  • Wojciech Sałabun & Krzysztof Palczewski & Jarosław Wątróbski, 2019. "Multicriteria Approach to Sustainable Transport Evaluation under Incomplete Knowledge: Electric Bikes Case Study," Sustainability, MDPI, Open Access Journal, vol. 11(12), pages 1-19, June.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:12:p:3314-:d:240231
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    4. Bartłomiej Kizielewicz & Jarosław Wątróbski & Wojciech Sałabun, 2020. "Identification of Relevant Criteria Set in the MCDA Process—Wind Farm Location Case Study," Energies, MDPI, Open Access Journal, vol. 13(24), pages 1-40, December.
    5. Felix Hinnüber & Marek Szarucki & Katarzyna Szopik-Depczyńska, 2019. "The Effects of a First-Time Experience on the Evaluation of Battery Electric Vehicles by Potential Consumers," Sustainability, MDPI, Open Access Journal, vol. 11(24), pages 1-25, December.
    6. Andrii Shekhovtsov & Volodymyr Kozlov & Viktor Nosov & Wojciech Sałabun, 2020. "Efficiency of Methods for Determining the Relevance of Criteria in Sustainable Transport Problems: A Comparative Case Study," Sustainability, MDPI, Open Access Journal, vol. 12(19), pages 1-23, September.
    7. Sergi, S. Bruno & D’Aleo, Vittorio & Arbolino, Roberta & Carlucci, Fabio & Barilla, David & Ioppolo, Giuseppe, 2020. "Evaluation of the Italian transport infrastructures: A technical and economic efficiency analysis," Land Use Policy, Elsevier, vol. 99(C).

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