The Effect of Nighttime Rental Restrictions on E-Scooter Injuries at a Large Urban Tertiary Care Center

Bjorn Anderson, Jonathan D. Rupp, Tim P. Moran, Lauren A. Hudak and Daniel T. Wu
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Bjorn Anderson: Emory University School of Medicine, Atlanta, GA 30303, USA
Jonathan D. Rupp: Department of Emergency Medicine, Emory University School of Medicine, Atlanta, GA 30303, USA
Tim P. Moran: Department of Emergency Medicine, Emory University School of Medicine, Atlanta, GA 30303, USA
Lauren A. Hudak: Department of Emergency Medicine, Emory University School of Medicine, Atlanta, GA 30303, USA
Daniel T. Wu: Department of Emergency Medicine, Emory University School of Medicine, Atlanta, GA 30303, USA

IJERPH, 2021, vol. 18, issue 19, 1-11

Abstract: Safety policy for e-scooters in the United States tends to vary by municipality, and the effects of safety interventions have not been well studied. We reviewed medical records at a large, urban tertiary care and trauma center in Atlanta, Georgia with the goal of identifying trends in e-scooter injury and the effects of Atlanta’s nighttime ban on e-scooter rentals on injuries treated in the emergency department (ED). Records from all ED visits occurring between June 2018 through August 2020 were reviewed. To account for ambiguity in medical records, confidence levels of either “certain” or “possible” were assigned using a set of predefined criteria to categorize patient injuries as being associated with an e-scooter. A total of 380 patients categorized as having certain e-scooter related injuries were identified. The average age of these patients was 31 years old, 65% were male, 41% had head injuries, 20% of injuries were associated with the built environment, and approximately 20% were admitted to the hospital. Approximately 19% of patients with injuries associated with e-scooters noted to be clinically intoxicated or have a serum ethanol level exceeding 80 mg/dL. The implementation of a nighttime rental ban on e-scooter rentals reduced the proportion of patients with e-scooter injuries with times of arrival during the hours of the ban from 32% to 22%, however this effect was not significant ( p = 0.16). More research is needed to understand how e-scooter use patterns are affected by the nighttime rental ban.

Keywords: micromobilty; nighttime ban; e-scooter injury costs (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
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