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A Spatiotemporal Study and Location-Specific Trip Pattern Categorization of Shared E-Scooter Usage

Author

Listed:
  • Maximilian Heumann

    (Information Systems Institute, Leibniz University Hannover, 30167 Hannover, Germany)

  • Tobias Kraschewski

    (Information Systems Institute, Leibniz University Hannover, 30167 Hannover, Germany)

  • Tim Brauner

    (Information Systems Institute, Leibniz University Hannover, 30167 Hannover, Germany)

  • Lukas Tilch

    (Information Systems Institute, Leibniz University Hannover, 30167 Hannover, Germany)

  • Michael H. Breitner

    (Information Systems Institute, Leibniz University Hannover, 30167 Hannover, Germany)

Abstract

This study analyzes the temporally resolved location and trip data of shared e-scooters over nine months in Berlin from one of Europe’s most widespread operators. We apply time, distance, and energy consumption filters on approximately 1.25 million trips for outlier detection and trip categorization. Using temporally and spatially resolved trip pattern analyses, we investigate how the built environment and land use affect e-scooter trips. Further, we apply a density-based clustering algorithm to examine point of interest-specific patterns in trip generation. Our results suggest that e-scooter usage has point of interest related characteristics. Temporal peaks in e-scooter usage differ by point of interest category and indicate work-related trips at public transport stations. We prove these characteristic patterns with the statistical metric of cosine similarity. Considering average cluster velocities, we observe limited time-saving potential of e-scooter trips in congested areas near the city center.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:22:p:12527-:d:677971
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    References listed on IDEAS

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    Cited by:

    1. Shah, Nitesh R. & Guo, Jing & Han, Lee D. & Cherry, Christopher R., 2023. "Why do people take e-scooter trips? Insights on temporal and spatial usage patterns of detailed trip data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    2. 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.
    3. Yunus Emre Ayözen & Hakan İnaç & Abdulkadir Atalan & Cem Çağrı Dönmez, 2022. "E-Scooter Micro-Mobility Application for Postal Service: The Case of Turkey for Energy, Environment, and Economy Perspectives," Energies, MDPI, vol. 15(20), pages 1-22, October.
    4. Kimpton, Anthony & Loginova, Julia & Pojani, Dorina & Bean, Richard & Sigler, Thomas & Corcoran, Jonathan, 2022. "Weather to scoot? How weather shapes shared e-scooter ridership patterns," Journal of Transport Geography, Elsevier, vol. 104(C).

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