Riders of hired vs privately-owned e-scooters: comparison of injury presentations to emergency departments and implications for prevention

OBJECTIVE: Prospective patient survey comparing profiles of riders injured using hired versus privately owned e-scooters across four major Queensland hospitals. METHODS: Multicenter prospective cohort study of emergency department presentations (May 2024-June 2025) involving e-scooter riders aged ≥16 years. Univariate generalized linear regression used to screen predictors of ownership type (hire vs private), followed by multivariable binary logistic regression. RESULTS: Of 218 eligible cases, 190 (87.2%) had complete data and were included in multivariable analyses. Infrequent e-scooter use was strongly associated with hire use. Compared with frequent users (6+ days/week), participants who rode once per week had substantially higher odds of being injured while using a hire e-scooter rather than a private e-scooter (OR 19.8, 95% CI 4.6-84.8). Riding at >25 km/h was associated with lower odds of hire use compared with ≤12 km/h (OR 0.04, 95% CI 0.01-0.23). Bruising/abrasions (vs fracture) were strongly associated with hire use (OR 15.2, 95% CI 3.6-64.1). Hire use was also more likely among participants who would have otherwise walked if an e-scooter were unavailable (OR 4.9, 95% CI 1.9-12.9) and those who had consumed alcohol prior to the incident (OR 10.0, 95% CI 2.0-51.0). Finally, late night injuries were more prevalent in hire scooters. CONCLUSIONS: While database/chart audit studies provide insights into the patterns of e-scooter injuries, it is only through data collection directly with patients can a more nuanced understanding of ownership profiles be established. Findings support targeted prevention, infrastructure and policy measures tailored to ownership profiles.

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Publication Details

Journal
Traffic Injury Prevention
Published
2026-10-16
DOI
https://doi.org/10.1080/15389588.2026.2739461
Primary Topic
Traffic and Road Safety
Type
article
Field-Weighted Citation Impact
0.00

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article

Riders of hired vs privately-owned e-scooters: comparison of injury presentations to emergency departments and implications for prevention

Martin Wullschleger, Kirsten Vallmuur, Brett Droder, Robert M. Eley et al.
Traffic Injury Prevention
Traffic and Road Safety
article

Riders of hired vs privately-owned e-scooters: comparison of injury presentations to emergency departments and implications for prevention

Martin Wullschleger, Kirsten Vallmuur, Brett Droder, Robert M. Eley, Elizabeth Michael, Gary Mitchell
article en

Abstract

OBJECTIVE: Prospective patient survey comparing profiles of riders injured using hired versus privately owned e-scooters across four major Queensland hospitals. METHODS: Multicenter prospective cohort study of emergency department presentations (May 2024-June 2025) involving e-scooter riders aged ≥16 years. Univariate generalized linear regression used to screen predictors of ownership type (hire vs private), followed by multivariable binary logistic regression. RESULTS: Of 218 eligible cases, 190 (87.2%) had complete data and were included in multivariable analyses. Infrequent e-scooter use was strongly associated with hire use. Compared with frequent users (6+ days/week), participants who rode once per week had substantially higher odds of being injured while using a hire e-scooter rather than a private e-scooter (OR 19.8, 95% CI 4.6-84.8). Riding at >25 km/h was associated with lower odds of hire use compared with ≤12 km/h (OR 0.04, 95% CI 0.01-0.23). Bruising/abrasions (vs fracture) were strongly associated with hire use (OR 15.2, 95% CI 3.6-64.1). Hire use was also more likely among participants who would have otherwise walked if an e-scooter were unavailable (OR 4.9, 95% CI 1.9-12.9) and those who had consumed alcohol prior to the incident (OR 10.0, 95% CI 2.0-51.0). Finally, late night injuries were more prevalent in hire scooters. CONCLUSIONS: While database/chart audit studies provide insights into the patterns of e-scooter injuries, it is only through data collection directly with patients can a more nuanced understanding of ownership profiles be established. Findings support targeted prevention, infrastructure and policy measures tailored to ownership profiles.

Traffic Injury Prevention
Griffith University (AU), Royal Women's Hospital (AU), Queensland University of Technology (AU), The University of Queensland (AU), Royal Brisbane and Women's Hospital (AU), Townsville Hospital (AU), Princess Alexandra Hospital (GB), Gold Coast Health (AU)
Royal Brisbane and Women's Hospital Foundation
Good health and well-being
Openalex Percentile: Top 13%
Traffic and Road Safety
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