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Compromise Multi-Criteria Selection of E-Scooters for the Vehicle Sharing System in Poland

Author

Listed:
  • Paweł Ziemba

    (Institute of Management, University of Szczecin, Aleja Papieża Jana Pawła II 22A, 70-453 Szczecin, Poland)

  • Izabela Gago

    (Technical Secondary School of Economics in Szczecin, 70-236 Szczecin, Poland)

Abstract

In Poland, there is a high ratio of private transport and unfavorable patterns of daily commuting. These patterns can be changed by introducing comfortable and eco-friendly vehicles, such as e-scooters and e-bikes. At the same time, the development of the e-micromobility-based vehicle sharing services market is developing. The aim of the article is to analyze selected e-scooters available on the Polish market and to identify the most useful vehicles from two opposing perspectives, i.e., the potential customer and owner of the vehicle sharing system. The PROSA GDSS (PROMETHEE for Sustainability Assessment—Group Decision Support System) method and the graphical representation of GAIA (Geometrical Analysis for Interactive Assistance) were used to search for a compromise and balance between the needs of the indicated stakeholders. The results of the methods used were compared with the results of the PROMETHEE GDSS method, which does not take into account the balance between the stakeholders and allows for a strong compensation of the assessments of decision makers. The conducted research allowed indicating the optimal e-scooter to meet the needs of both decision makers, and it is the JEEP 2xe Urban Camou. Both the sensitivity analysis and the solution obtained with the use of the PROMETHEE GDSS method confirmed that it is the optimal alternative, the least sensitive to changes in criteria weights and changes in the decision makers’ compensation coefficients.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:14:p:5048-:d:860506
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