Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Shared E-scooter Practices in Birmingham, Alabama: Analyzing Usage, Patterns, and Determinants

Version 1 : Received: 8 November 2023 / Approved: 8 November 2023 / Online: 8 November 2023 (04:46:20 CET)

A peer-reviewed article of this Preprint also exists.

Hasan, M.; Sisiopiku, V.P. Shared E-Scooter Practices in Birmingham, Alabama: Analyzing Usage, Patterns, and Determinants. Future Transp. 2024, 4, 130-151. Hasan, M.; Sisiopiku, V.P. Shared E-Scooter Practices in Birmingham, Alabama: Analyzing Usage, Patterns, and Determinants. Future Transp. 2024, 4, 130-151.

Abstract

Shared micromobility has gained significant attention in the field of transportation engineering in recent years as an environmentally friendly, convenient, and easily accessible transportation mode. Like other medium-sized cities, Birmingham, Alabama implemented a shared micromobility pilot program in 2021 that captured the attention of local travelers. This study examined shared e-scooter usage and associated travel patterns in Birmingham using 2021-2022 field data. From these data, ArcGIS maps were used to showcase trip origins and destinations. To gain a further understanding of e-scooter travel patterns in the study area, zip code and block group densities were calculated. Additionally, a negative binomial regression model was constructed to identify determinants of shared e-scooter trips. The analysis results showed that the usage of shared e-scooters was the highest during the nighttime, on weekends, and in the fall season. Furthermore, the research findings indicated that shared e-scooters experienced their highest utilization rates in areas with a higher proportion of educated and higher-income individuals. These findings suggest that travelers’ mode choice related to the use of micromobility modes is influenced by environmental and demographic factors. Overall, this case study offers valuable contributions to the understanding of the role of shared e-scooters in Birmingham's transportation landscape and can guide transportation authorities in other medium-sized cities in their efforts to plan for micromobility options.

Keywords

shared micromobility; e-scooters; spatiotemporal analysis; negative binomial regression analysis

Subject

Engineering, Civil Engineering

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