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Free-floating e-scooter usage in urban areas: A spatiotemporal analysis

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  • Foissaud, Nicolas
  • Gioldasis, Christos
  • Tamura, Shun
  • Christoforou, Zoi
  • Farhi, Nadir

Abstract

The emergence and growing popularity of e-scooters has created the need for researchers, policy-makers and urban planners to better understand user behaviors and travel patterns. In this paper, we examine the spatiotemporal patterns of e-scooter trips in 4 European cities: Paris, Malaga, Bordeaux, and Hamburg. We use a GPS dataset which includes position coordinates crossed with the country of registration of the user's bank card. Results suggest that riding frequencies and vehicle rotation are low and seem to be correlated. Average trip distance shows low variability and is of approximately 4.5 miles, while average trip duration is of 12 min. Tourists are major free-floating e-scooter users, ride during daytime, over longer distances, but at lower speeds. In all cities, the peak hour is observed in the afternoon (between 3 and 5 pm). Downtown, waterfront areas and availability of soft mobility infrastructure attract users. Usage is following relatively predictable patterns, especially when used for commuting.

Suggested Citation

  • Foissaud, Nicolas & Gioldasis, Christos & Tamura, Shun & Christoforou, Zoi & Farhi, Nadir, 2022. "Free-floating e-scooter usage in urban areas: A spatiotemporal analysis," Journal of Transport Geography, Elsevier, vol. 100(C).
    • Handle: RePEc:eee:jotrge:v:100:y:2022:i:c:s0966692322000588
    DOI: 10.1016/j.jtrangeo.2022.103335
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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. 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).
    3. 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).
    4. Vallamsundar, Suriya & Jaikumar, Rohit & Venugopal, Madhusudhan, 2022. "Exploring the Spatial-temporal dynamics of travel patterns and air pollution exposure of E-scooters," Journal of Transport Geography, Elsevier, vol. 105(C).

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