Abstract
The rapid growth of shared e-scooters around the world creates an interest and a need to understand who uses shared e-scooters, trip patterns, and modal shift impacts. To shed light on these questions, this study conducted an online survey ( N = 1498) to collect information on shared e-scooter use in four U.S. cities: Birmingham, AL, Washington D.C., Los Angeles, CA, and Miami, FL. The paper provides a comprehensive view of shared e-scooter use in different cities and reveals the similarities and differences in e-scooter users’ socioeconomic characteristics. Furthermore, the results of a binary logistic model show the impact of socioeconomic and travel modal choice factors on predicting shared e-scooter usage. The findings suggest that male, younger, and more affluent users who live in smaller households owning fewer vehicles are more likely to use shared e-scooter services. The relationships between income level, race/ethnicity, or e-scooter ownership and the usage of shared e-scooters are not statistically significant. The McFadden’s R2 of the binary logistic regression model indicates an excellent fit. The results also show that compared with non-users, shared e-scooter users tend to assess travel cost as more important and travel safety as less important in their mode choice. The findings from this work can help city planners, policymakers, and other micromobility stakeholders in their efforts to promote the adoption of shared e-scooters and improve on deployment practices of shared e-scooters at their locations.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: Transportation Research Record: Journal of the Transportation Research Board
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.