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Selection of the Family Electric Car Based on Objective and Subjective Criteria—Analysis of a Case Study of Polish Consumers

Author

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  • Paweł Ziemba

    (Institute of Management, University of Szczecin, 70-453 Szczecin, Poland)

  • Marek Kannchen

    (Faculty of Technology, The Jacob of Paradies University, 66-400 Gorzów Wielkopolski, Poland)

  • Mariusz Borawski

    (Faculty of Computer Science and Telecommunications, Maritime University of Szczecin, 70-500 Szczecin, Poland)

Abstract

In accordance with the policies of European Union countries, including Poland, users of combustion vehicles are and will be encouraged in the coming years to purchase BEVs (battery electric vehicles) through various restrictions, burdens, and incentives. In this context, it is important to choose a BEV that meets consumer needs. The practical aim of the article was to analyse BEVs used in households and to select a car with the highest utility for such a household located in a specific city in Poland. The scientific goal was to analyse the impact of subjective criteria and the imprecision of judgements on the results of the multi-criteria assessment of BEVs. The research used the PVM-VSI (Preference Vector Method—Vector Space of Increments) method, which allows for examining the impact of subjective criteria on the assessment results. Moreover, by examining the deviations of the assessments, the PVM-VSI method also allows for measuring the imprecision of subjective judgements. The study showed that including subjective criteria in the decision-making model may have a decisive impact on the obtained ranking of alternatives. In the study using objective and subjective criteria, Nissan Ariya ranked first. However, in the ranking based solely on objective criteria, Kia Niro EV won, and the winner of the first ranking took the last place. In the study, the imprecision of judgements did not have a significant impact on the order of vehicles in the ranking. Based on utilities and standard deviations, it was found that only if the decision-maker was prone to gambling would there be a slight switch between alternatives.

Suggested Citation

  • Paweł Ziemba & Marek Kannchen & Mariusz Borawski, 2024. "Selection of the Family Electric Car Based on Objective and Subjective Criteria—Analysis of a Case Study of Polish Consumers," Energies, MDPI, vol. 17(6), pages 1-27, March.
  • Handle: RePEc:gam:jeners:v:17:y:2024:i:6:p:1347-:d:1355273
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    References listed on IDEAS

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    1. Daniel Alfredo Revollo-Fernandez & Alonso Aguilar-Ibarra, 2014. "Measures of risk associated to regulations compliance: a laboratory experiment on the use of common-pool resources," Journal of Risk Research, Taylor & Francis Journals, vol. 17(7), pages 903-921, August.
    2. Yeh, Chung-Hsing & Chang, Yu-Hern, 2009. "Modeling subjective evaluation for fuzzy group multicriteria decision making," European Journal of Operational Research, Elsevier, vol. 194(2), pages 464-473, April.
    3. Song, Yongming & Li, Yanhong & Zhu, Hongli & Li, Guangxu, 2023. "A decision support model for buying battery electric vehicles considering consumer learning and psychological behavior," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    4. Jia, Chunchun & He, Hongwen & Zhou, Jiaming & Li, Jianwei & Wei, Zhongbao & Li, Kunang, 2024. "Learning-based model predictive energy management for fuel cell hybrid electric bus with health-aware control," Applied Energy, Elsevier, vol. 355(C).
    5. Ecer, Fatih, 2021. "A consolidated MCDM framework for performance assessment of battery electric vehicles based on ranking strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    6. John T. Buchanan & Erez J. Henig & Mordecai I. Henig, 1998. "Objectivity and subjectivity in thedecision making process," Annals of Operations Research, Springer, vol. 80(0), pages 333-345, January.
    7. Li, Wenbo & Long, Ruyin & Chen, Hong & Geng, Jichao, 2017. "A review of factors influencing consumer intentions to adopt battery electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 318-328.
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