IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i23p8903-d983587.html
   My bibliography  Save this article

Selection of an Electric Scooter for Shared Mobility Services Using Multicriteria Decision Support Methods

Author

Listed:
  • Andrzej Kubik

    (Department of Road Transport, Faculty of Transport and Aviation Engineering, Silesian University of Technology, 8 Krasińskiego Street, 40-019 Katowice, Poland)

Abstract

In recent years, the electromobility market has been growing faster and faster. Electric scooters and scooter-sharing services offered for them, available in many cities around the world, have a special impact on its intensification. The constantly growing number of scooters and service operators brings many problems related to the proper functioning of services. In the literature, one can find attempts to solve the problems of scooters with references to the issues of transport, modeling and optimization, as well as legislative and social aspects. Technical issues, however, are overlooked. Among them, however, there is a problem with the appropriate selection of scooter models that can be used in scooter-sharing systems. Solving this type of problem may allow systems to be better matched to urban transport systems, increase the development of electromobility and encourage societies to transition from current means of transport (e.g., cars) to scooters. Paying attention to this research niche, the article is devoted to the selection of electric scooters for scooter sharing. This paper presents the author’s own research for the Polish market of scooter-sharing services. As part of the work, the author’s own list of factors from the point of view of which scooters can be assessed was developed; social research was conducted, considering the opinions of experts in the field of scooter sharing; and it was proposed to treat the problem of selecting scooters as a complex multicriteria decision-making problem. Moreover, the ELECTRE III method was used to solve this research problem in an innovative way. The research results indicate that when choosing a scooter, you should be guided primarily by such factors as the greatest range, equipping the vehicles with safety systems and the most powerful engine. Interestingly, the price of vehicles does not have to be the lowest possible. The article presents guidelines that support operators when upgrading or equipping systems with scooters and support individual users at the stage of deciding to buy a scooter.

Suggested Citation

  • Andrzej Kubik, 2022. "Selection of an Electric Scooter for Shared Mobility Services Using Multicriteria Decision Support Methods," Energies, MDPI, vol. 15(23), pages 1-12, November.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:23:p:8903-:d:983587
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/23/8903/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/15/23/8903/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Alfonso Montella & Salvatore Chiaradonna & Alessandro Claudi de Saint Mihiel & Gord Lovegrove & Pietro Nunziante & Maria Rella Riccardi, 2022. "Sustainable Complete Streets Design Criteria and Case Study in Naples, Italy," Sustainability, MDPI, vol. 14(20), pages 1-27, October.
    3. Gabriel Dias & Elisabete Arsenio & Paulo Ribeiro, 2021. "The Role of Shared E-Scooter Systems in Urban Sustainability and Resilience during the Covid-19 Mobility Restrictions," Sustainability, MDPI, vol. 13(13), pages 1-19, June.
    4. Shaheen, Susan PhD & Cohen, Adam & Chan, Nelson & Bansal, Apaar, 2020. "Chapter 13 - Sharing strategies: carsharing, shared micromobility (bikesharing and scooter sharing), transportation network companies, microtransit, and other innovative mobility modes," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt0z9711dw, Institute of Transportation Studies, UC Berkeley.
    5. Fei-Hui Huang, 2021. "User Behavioral Intentions toward a Scooter-Sharing Service: An Empirical Study," Sustainability, MDPI, vol. 13(23), pages 1-21, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Alexandra König & Laura Gebhardt & Kerstin Stark & Julia Schuppan, 2022. "A Multi-Perspective Assessment of the Introduction of E-Scooter Sharing in Germany," Sustainability, MDPI, vol. 14(5), pages 1-16, February.
    2. Bretones, Alexandra & Marquet, Oriol, 2022. "Sociopsychological factors associated with the adoption and usage of electric micromobility. A literature review," Transport Policy, Elsevier, vol. 127(C), pages 230-249.
    3. Salah Beni Hamed & Mouna Ben Hamed & Lassaad Sbita, 2022. "Robust Voltage Control of a Buck DC-DC Converter: A Sliding Mode Approach," Energies, MDPI, vol. 15(17), pages 1-21, August.
    4. Natalia Distefano & Salvatore Leonardi & Nilda Georgina Liotta, 2023. "Walking for Sustainable Cities: Factors Affecting Users’ Willingness to Walk," Sustainability, MDPI, vol. 15(7), pages 1-18, March.
    5. Maria Rella Riccardi & Francesco Galante & Antonella Scarano & Alfonso Montella, 2022. "Econometric and Machine Learning Methods to Identify Pedestrian Crash Patterns," Sustainability, MDPI, vol. 14(22), pages 1-19, November.
    6. Chrysa Vizmpa & George Botzoris & Panagiotis Lemonakis & Athanasios Galanis, 2023. "Micromobility in Urban Trail Paths: Expanding and Strengthening the Planning of 15-Minute Cities," Land, MDPI, vol. 12(12), pages 1-22, December.
    7. Qian Duan & Xin Ye & Jian Li & Ke Wang, 2020. "Empirical Modeling Analysis of Potential Commute Demand for Carsharing in Shanghai, China," Sustainability, MDPI, vol. 12(2), pages 1-18, January.
    8. Hosseinzadeh, Aryan & Algomaiah, Majeed & Kluger, Robert & Li, Zhixia, 2021. "Spatial analysis of shared e-scooter trips," Journal of Transport Geography, Elsevier, vol. 92(C).
    9. Ouassim Manout & Azise Oumar Diallo & Thibault Gloriot, 2023. "Implications of pricing and fleet size strategies on shared bikes and e-scooters: a case study from Lyon, France," Working Papers hal-04017908, HAL.
    10. Elnert Coenegrachts & Joris Beckers & Thierry Vanelslander & Ann Verhetsel, 2021. "Business Model Blueprints for the Shared Mobility Hub Network," Sustainability, MDPI, vol. 13(12), pages 1-24, June.
    11. Rémy Le Boennec & Frédéric Salladarré, 2023. "Investigating the use of privately-owned micromobility modes for commuting in four European countries," Post-Print hal-04296400, HAL.
    12. Krauss, Konstantin & Gnann, Till & Burgert, Tobias & Axhausen, Kay W., 2024. "Faster, greener, scooter? An assessment of shared e-scooter usage based on real-world driving data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 181(C).
    13. Sobrino, Natalia & Gonzalez, Juan Nicolas & Vassallo, Jose Manuel & Baeza, Maria de los Angeles, 2023. "Regulation of shared electric kick scooters in urban areas: Key drivers from expert stakeholders," Transport Policy, Elsevier, vol. 134(C), pages 1-18.
    14. Kim, Minju & Puczkowskyj, Nicholas & MacArthur, John & Dill, Jennifer, 2023. "Perspectives on e-scooters use: A multi-year cross-sectional approach to understanding e-scooter travel behavior in Portland, Oregon," Transportation Research Part A: Policy and Practice, Elsevier, vol. 178(C).
    15. Ali Alamdar Moghaddam & Hamid Mirzahossein & Robert Guzik, 2022. "Comparing Inequality in Future Urban Transport Modes by Doughnut Economy Concept," Sustainability, MDPI, vol. 14(21), pages 1-24, November.
    16. Morteza Hossein Sabbaghian & David Llopis-Castelló & Alfredo García, 2023. "A Safe Infrastructure for Micromobility: The Current State of Knowledge," Sustainability, MDPI, vol. 15(13), pages 1-20, June.
    17. Hu, Songhua & Chen, Mingyang & Jiang, Yuan & Sun, Wei & Xiong, Chenfeng, 2022. "Examining factors associated with bike-and-ride (BnR) activities around metro stations in large-scale dockless bikesharing systems," Journal of Transport Geography, Elsevier, vol. 98(C).
    18. Andrzej Kubik, 2022. "The Energy Consumption of Electric Scooters Used in the Polish Shared Mobility Market," Energies, MDPI, vol. 15(21), pages 1-15, November.
    19. Andrzej Kubik & Katarzyna Turoń & Piotr Folęga & Feng Chen, 2023. "CO 2 Emissions—Evidence from Internal Combustion and Electric Engine Vehicles from Car-Sharing Systems," Energies, MDPI, vol. 16(5), pages 1-21, February.
    20. Sujae Kim & Sangho Choo & Gyeongjae Lee & Sanghun Kim, 2022. "Predicting Demand for Shared E-Scooter Using Community Structure and Deep Learning Method," Sustainability, MDPI, vol. 14(5), pages 1-15, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:15:y:2022:i:23:p:8903-:d:983587. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.