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A Holistic Approach to Electric Shared Mobility Systems Development—Modelling and Optimization Aspects

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  • Katarzyna Turoń

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

  • Andrzej Kubik

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

  • Feng Chen

    (Sino-US Global Logistics Institute, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Hualan Wang

    (School of Transportation, Lanzhou Jiaotong University, 88 West Anning Road, Lanzhou 730070, China)

  • Bogusław Łazarz

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

Abstract

Due to the development of the shared economy, increasingly more shared mobility providers have launched services based on the use of electric vehicles. The increasing growth of electric shared mobility services has produced various types of problems that do not occur (or occur with a limited effect) under conventional shared mobility systems. This increase in electric shared mobility problems has led to many effects, including limitations of the system zones or going out of business. To avoid difficulties in the functioning of electric shared mobility systems, various scientific studies have been undertaken to model and optimize the operation of these systems. Modeling and optimization mainly relate to one category of the system—for example, only to bike sharing. However, to understand the system of electric shared mobility holistically, there is a need to define the criteria generally as stimulants or destimulants. Based on these assumptions, we conducted research on the identification of factors influencing the development of electric shared mobility services. We conducted our own expert research based on the Social Network Analysis method. The aim of this study was to determine the factors that influence the development or recession of services in the entire electric shared mobility market in reference to selected stakeholders. The obtained results indicate a non-standard approach to the modeling and optimization of electric shared mobility services. This study could be used as support for creating electric shared mobility models and could also be helpful for service providers or local mobility managers through the developed recommendations.

Suggested Citation

  • Katarzyna Turoń & Andrzej Kubik & Feng Chen & Hualan Wang & Bogusław Łazarz, 2020. "A Holistic Approach to Electric Shared Mobility Systems Development—Modelling and Optimization Aspects," Energies, MDPI, vol. 13(21), pages 1-19, November.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:21:p:5810-:d:441006
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    7. Jean-Robert Agher & Patrice Dubois & Améziane Aoussat, 2021. "A Bibliometric Analysis of Product-Service Systems’ Design Methodologies: Potential Root-Cause Identification of PSS’ Failures," Post-Print hal-03983127, HAL.
    8. Katarzyna Markowska & Agnieszka Sękala & Kinga Stecuła & Tomasz Kawka & Kirill Sirovitskiy & Oksana Pankova & Nataliia Vnukova & Mikhail Shulyak & Serhii Kharchenko & Taras Shchur & Ewa Siudyka, 2023. "Comparison of the Sustainability and Economic Efficiency of an Electric Car and an Aircraft—A Case Study," Sustainability, MDPI, vol. 15(2), pages 1-11, January.
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