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Scootin’ in the rain: Does weather affect micromobility?

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  • Noland, Robert B.

Abstract

The usage of shared e-scooters, dockless e-bikes, and docked bicycles are correlated with weather conditions to examine the relative impact on each mode, specifically number of trips taken, their duration, and distance. Data is obtained from the City of Austin data portal. Rain, temperature and wind conditions are obtained from NOAA and a variety of analysis methods are applied, specifically Prais-Winsten and Negative Binomial regressions as well as a Random Forest model to examine the full suite of weather variables and to avoid some of the distributional issues in the trip models. In addition, controls are included for holidays, days of the week, and special events in Austin (such as the SXSW festival); all are found to be critical control variables, with SXSW associated with large increases in trips. Results suggest that docked bicycle and e-bike usage is more sensitive to adverse weather conditions than e-scooter trips, though all are reduced in colder, rainier, and windier conditions, as well as extreme heat and high relative humidity.

Suggested Citation

  • Noland, Robert B., 2021. "Scootin’ in the rain: Does weather affect micromobility?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 149(C), pages 114-123.
    • Handle: RePEc:eee:transa:v:149:y:2021:i:c:p:114-123
    DOI: 10.1016/j.tra.2021.05.003
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    References listed on IDEAS

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    1. Sanders, Rebecca L. & Branion-Calles, Michael & Nelson, Trisalyn A., 2020. "To scoot or not to scoot: Findings from a recent survey about the benefits and barriers of using E-scooters for riders and non-riders," Transportation Research Part A: Policy and Practice, Elsevier, vol. 139(C), pages 217-227.
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    1. 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).
    2. Stefan Gössling & Christoph Neger & Robert Steiger & Rainer Bell, 2023. "Weather, climate change, and transport: a review," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 118(2), pages 1341-1360, September.
    3. Gong, Wenjing & Rui, Jin & Li, Tianyu, 2024. "Deciphering urban bike-sharing patterns: An in-depth analysis of natural environment and visual quality in New York's Citi bike system," Journal of Transport Geography, Elsevier, vol. 115(C).
    4. Weschke, Jan, 2023. "Scooting when the metro arrives — Estimating the impact of public transport stations on shared e-scooter demand," Transportation Research Part A: Policy and Practice, Elsevier, vol. 178(C).
    5. Cheng, Long & Huang, Jie & Jin, Tanhua & Chen, Wendong & Li, Aoyong & Witlox, Frank, 2023. "Comparison of station-based and free-floating bikeshare systems as feeder modes to the metro," Journal of Transport Geography, Elsevier, vol. 107(C).
    6. Tyndall, Justin, 2022. "Complementarity of dockless mircomobility and rail transit," Journal of Transport Geography, Elsevier, vol. 103(C).
    7. 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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