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Multi-Criteria Stochastic Selection of Electric Vehicles for the Sustainable Development of Local Government and State Administration Units in Poland

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  • Paweł Ziemba

    (Faculty of Economics, Finance and Management, University of Szczecin, Cukrowa 8, 71-004 Szczecin, Poland)

Abstract

Increasing the popularity of electric vehicles is one way of reducing greenhouse gas emissions and making the economy more sustainable. In Poland, the use of electric vehicles is to be increased by the adoption of the Act on Electromobility and Alternative Fuels. This Act obliges local government units and state administration to expand the electric vehicle fleet. The expansion of the fleet should be carried out on a planned basis, based on rational decisions supported by economic analyses. Therefore, the aim of this article is to provide a recommendation of an electric vehicle that meets the needs of local and state administration to the greatest extent possible. The aim has been achieved using the multi-criteria decision analysis method called PROSA-C (PROMETHEE for Sustainability Assessment—Criteria) combined with the Monte Carlo method. The PROSA-C method allows promoting more sustainable vehicles with high technical, economic, environmental and social parameters. The Monte Carlo method, on the other hand, is a stochastic simulation tool that allows for taking into account the uncertainty of parameters describing vehicles. As a result of the research, the most and least attractive vehicles were identified from the perspective of the needs of local government units and state administration. Moreover, the conducted research allowed confirming the effectiveness and usefulness of the research methodology proposed in the article and the procedural approach combining the PROSA-C and Monte Carlo methods.

Suggested Citation

  • Paweł Ziemba, 2020. "Multi-Criteria Stochastic Selection of Electric Vehicles for the Sustainable Development of Local Government and State Administration Units in Poland," Energies, MDPI, vol. 13(23), pages 1-19, November.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:23:p:6299-:d:453245
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    Cited by:

    1. Paweł Ziemba, 2021. "Multi-Criteria Fuzzy Evaluation of the Planned Offshore Wind Farm Investments in Poland," Energies, MDPI, vol. 14(4), pages 1-19, February.
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    4. Irina Vinogradova-Zinkevič, 2021. "Application of Bayesian Approach to Reduce the Uncertainty in Expert Judgments by Using a Posteriori Mean Function," Mathematics, MDPI, vol. 9(19), pages 1-23, October.
    5. Yossi Hadad & Baruch Keren & Dima Alberg, 2023. "An Expert System for Ranking and Matching Electric Vehicles to Customer Specifications and Requirements," Energies, MDPI, vol. 16(11), pages 1-18, May.
    6. Jaros{l}aw Wk{a}tr'obski & Aleksandra Bk{a}czkiewicz & Iga Rudawska, 2023. "A Strong Sustainability Paradigm Based Analytical Hierarchy Process (SSP-AHP) Method to Evaluate Sustainable Healthcare Systems," Papers 2306.00718, arXiv.org.
    7. Katarzyna Turoń & Andrzej Kubik & Feng Chen, 2022. "What Car for Car-Sharing? Conventional, Electric, Hybrid or Hydrogen Fleet? Analysis of the Vehicle Selection Criteria for Car-Sharing Systems," Energies, MDPI, vol. 15(12), pages 1-14, June.
    8. Paweł Ziemba, 2021. "Selection of Electric Vehicles for the Needs of Sustainable Transport under Conditions of Uncertainty—A Comparative Study on Fuzzy MCDA Methods," Energies, MDPI, vol. 14(22), pages 1-25, November.
    9. Paweł Ziemba & Mateusz Piwowarski & Kesra Nermend, 2023. "Remote Work in Post-Pandemic Reality—Multi-Criteria Evaluation of Teleconferencing Software," Sustainability, MDPI, vol. 15(13), pages 1-20, June.
    10. Dimitra G. Vagiona, 2021. "Comparative Multicriteria Analysis Methods for Ranking Sites for Solar Farm Deployment: A Case Study in Greece," Energies, MDPI, vol. 14(24), pages 1-23, December.
    11. Ziemba, Paweł, 2022. "Uncertain Multi-Criteria analysis of offshore wind farms projects investments – Case study of the Polish Economic Zone of the Baltic Sea," Applied Energy, Elsevier, vol. 309(C).
    12. Albert Y. S. Lam & Bogusław Łazarz & Grzegorz Peruń, 2022. "Smart Energy and Intelligent Transportation Systems," Energies, MDPI, vol. 15(8), pages 1-3, April.
    13. Chang, Soowon & Cho, Junyoung & Heo, Jae & Kang, Junsuk & Kobashi, Takuro, 2022. "Energy infrastructure transitions with PV and EV combined systems using techno-economic analyses for decarbonization in cities," Applied Energy, Elsevier, vol. 319(C).
    14. Paweł Ziemba & Izabela Gago, 2022. "Compromise Multi-Criteria Selection of E-Scooters for the Vehicle Sharing System in Poland," Energies, MDPI, vol. 15(14), pages 1-26, July.
    15. Paweł Ziemba & Aneta Becker & Jarosław Becker, 2021. "Forecasting and Assessment of the Energy Security Risk in Fuzzy Environment," Energies, MDPI, vol. 14(18), pages 1-20, September.

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