Characteristics and Risk Factors for Electric Scooter-Related Crashes and Injury Crashes among Scooter Riders: A Two-Phase Survey Study

Disi Tian, Andrew D. Ryan, Curtis M. Craig, Kelsey Sievert and Nichole L. Morris ()
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Disi Tian: HumanFIRST Laboratory, Department of Mechanical Engineering, University of Minnesota, Minneapolis, MN 55455, USA
Andrew D. Ryan: Midwest Center for Occupational Health and Safety Education and Research Center, Division of Environmental Health Sciences, School of Public Health, University of Minnesota, Minneapolis, MN 55455, USA
Curtis M. Craig: HumanFIRST Laboratory, Department of Mechanical Engineering, University of Minnesota, Minneapolis, MN 55455, USA
Kelsey Sievert: HumanFIRST Laboratory, Department of Mechanical Engineering, University of Minnesota, Minneapolis, MN 55455, USA
Nichole L. Morris: HumanFIRST Laboratory, Department of Mechanical Engineering, University of Minnesota, Minneapolis, MN 55455, USA

IJERPH, 2022, vol. 19, issue 16, 1-16

Abstract: Electric scooters (or e-scooters) are among the most popular micromobility options that have experienced an enormous expansion in urban transportation systems across the world in recent years. Along with the increased usage of e-scooters, the increasing number of e-scooter-related injuries has also become an emerging global public health concern. However, little is known regarding the risk factors for e-scooter-related crashes and injury crashes. This study consisted of a two-phase survey questionnaire administered to a cohort of e-scooter riders ( n = 210), which obtained exposure information on riders’ demographics, riding behaviors (including infrastructure selection), helmet use, and other crash-related factors. The risk ratios of riders’ self-reported involvement in an e-scooter-related crash (i.e., any crash versus no crash) and injury crash (i.e., injury crash versus non-injury crash) were estimated across exposure subcategories using the Negative Binomial regression approach. Males and frequent users of e-scooters were associated with an increased risk of e-scooter-related crashes of any type. For the e-scooter-related injury crashes, more frequently riding on bike lanes (i.e., greater than 25% of the time), either protected or unprotected, was identified as a protective factor. E-scooter-related injury crashes were more likely to occur among females, who reported riding on sidewalks and non-paved surfaces more frequently. The study may help inform public policy regarding e-scooter legislation and prioritize efforts to establish suitable road infrastructure for improved e-scooter riding safety.

Keywords: electric scooter; e-scooter; infrastructure selection; electric scooter-related crashes and injury crashes; injury characteristics; risk factors (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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