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Spatial associations of dockless shared e-scooter usage
Accepted manuscript   Open access   Peer reviewed

Spatial associations of dockless shared e-scooter usage

Or Caspi, Michael J. Smart and Robert B. Noland
Transportation Research Part D (Transport and Environment), Vol.86
2020
DOI:
https://doi.org/10.7282/t3-v4nq-yk91

Abstract

Geographically weighted regression Spatial analysis Micromobility Shared e-scooters
In this study, we explore the usage of e-scooter sharing services in Austin, Texas over about a six-month period. The study is based on trip records of all the shared e-scooter operators in Austin and includes trip start and end locations. We use both analysis of trip patterns and spatial regression techniques to examine how the built environment, land use, and demographics affect e-scooter trip generation. Our findings show that people use e-scooters almost exclusively in central Austin. Commuting does not seem to be the main trip purpose, and usage of e-scooters is associated with areas with high employment rates, and in areas with bicycle infrastructure. People use e-scooter sharing regardless of the affluence of the neighborhood, although less affluent areas with high usage rates have large student populations, suggesting that students use this mode of travel. Implications for planners suggest that better bicycle infrastructure will facilitate e-scooter usage, college towns are a ready market for e-scooter sharing services, and e-scooters may be a substitute for some short non-work trips, reducing car usage, and benefiting the environment.
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Accepted Manuscript (AM) Open Access
url
https://doi.org/10.1016/j.trd.2020.102396View
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