Publication Type
Journal Article
Version
acceptedVersion
Publication Date
2-2022
Abstract
Objective: Over the past few years, increased e-scooter ridership has raised concerns about the growing number of injury accidents involving e-scooters. Additionally, given the lack of appropriate e-scooter accident data, the extent to which built environment and socioeconomic factors affect e-scooter safety is unclear. In consideration of these issues, this study was aimed at identifying the factors contributing to the number of e-scooter injury accidents in Austin. Methods: We developed zero-inflated Poisson (ZIP) and zero-inflated negative binomial (ZINB) models on the basis of 2018 dockless e-scooter injury accident data collected from the Patch platform. The results indicated that the ZIP model better fit the accident data. Results: Significant variables included the ratio of 18- to 34-year-old males to their female counterparts, the median annual household income (in thousands), the ratio of public transport users to private transport users, the land use entropy index, the percentage of restaurants, and the percentage of educational centers in the study site. Conclusions: As e-scooter accidents are likely to occur in dense urban settings, a critical initiative is to develop new infrastructure, such as bike lanes, and/or extend sidewalks beyond core urban areas. Another highly recommended measure is to implement a demerit point system for the suspension of riders who engage in unsafe behaviors. Lastly, launching educational campaigns by e-scooter operators and law enforcement agencies will raise riders’ awareness about road and personal safety.
Keywords
E-scooter, injury, accident, socioeconomic, zero-inflated
Discipline
Transportation | Urban Studies
Research Areas
Integrative Research Areas
Publication
Traffic Injury Prevention
Volume
23
Issue
2
First Page
107
Last Page
111
ISSN
1538-9588
Identifier
10.1080/15389588.2022.2030057
Publisher
Taylor and Francis Group
Citation
AZIMIAN, Amin and JIAO, Junfeng.
Modeling factors contributing to dockless e-scooter injury accidents in Austin, Texas. (2022). Traffic Injury Prevention. 23, (2), 107-111.
Available at: https://ink.library.smu.edu.sg/cis_research/500
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