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Comparing Micromobility with Public Transportation Trips in a Data-Driven Spatio-Temporal Analysis

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  • Felix Schwinger

    (Department of Computer Science, RWTH Aachen University, Information Systems, Ahornstraße 55, 52066 Aachen, Germany)

  • Baran Tanriverdi

    (Department of Computer Science, RWTH Aachen University, Information Systems, Ahornstraße 55, 52066 Aachen, Germany)

  • Matthias Jarke

    (Department of Computer Science, RWTH Aachen University, Information Systems, Ahornstraße 55, 52066 Aachen, Germany
    Fraunhofer Institute for Applied Information Technology FIT, Schloss Birlinghoven, 53757 Sankt Augustin, Germany)

Abstract

Micromobility service systems have recently appeared in urban areas worldwide. Although e-bike and e-scooter services have been operating for some time now, their characteristics have only recently been analyzed in more detail. In particular, the influence on the existing transportation services is not well understood. This study proposes a framework to gather data, infer micromobility trips, deduce their characteristics, and assess their relation to a public transportation network. We validate our approach by comparing it to similar approaches in the literature and applying it to data of over a year from the city of Aachen. We find hints at the recreational role of e-scooters and a larger commuting role for e-bikes. We show that micromobility services in particular are used in situations where public transportation is not a viable alternative, hence often complementing the available services, and competing with public transportation in other areas. This ambivalent relationship between micromobility and public transportation emphasizes the need for appropriate regulations and policies to ensure the sustainability of micromobility services.

Suggested Citation

  • Felix Schwinger & Baran Tanriverdi & Matthias Jarke, 2022. "Comparing Micromobility with Public Transportation Trips in a Data-Driven Spatio-Temporal Analysis," Sustainability, MDPI, vol. 14(14), pages 1-27, July.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:14:p:8247-:d:856707
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    References listed on IDEAS

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    1. Steve O’Hern & Nora Estgfaeller, 2020. "A Scientometric Review of Powered Micromobility," Sustainability, MDPI, vol. 12(22), pages 1-21, November.
    2. Maximilian Heumann & Tobias Kraschewski & Tim Brauner & Lukas Tilch & Michael H. Breitner, 2021. "A Spatiotemporal Study and Location-Specific Trip Pattern Categorization of Shared E-Scooter Usage," Sustainability, MDPI, vol. 13(22), pages 1-24, November.
    3. Stefania Boglietti & Benedetto Barabino & Giulio Maternini, 2021. "Survey on e-Powered Micro Personal Mobility Vehicles: Exploring Current Issues towards Future Developments," Sustainability, MDPI, vol. 13(7), pages 1-34, March.
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    Cited by:

    1. Yin, Zehui & Rybarczyk, Greg & Zheng, Anran & Su, Lin & Sun, Bingrong & Yan, Xiang, 2024. "Shared micromobility as a first- and last-mile transit solution? Spatiotemporal insights from a novel dataset," Journal of Transport Geography, Elsevier, vol. 114(C).
    2. Zakhem, Myriam & Smith-Colin, Janille, 2024. "An E-scooter route assignment framework to improve user safety, comfort and compliance with city rules and regulations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).

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