An exploration of e-scooter injuries and severity: Impact of restriction policies in Helsinki, Finland

• Published in: Journal of safety research Vol. 91; pp. 271 - 282
• Main Authors: Dibaj, Samira, Vosough, Shaghayegh, Kazemzadeh, Khashayar, O’Hern, Steve, Mladenović, Miloš N.
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01-12-2024
• Subjects: abbreviated injury score; ban; discrete choice modeling; injury severity; intoxication; Micromobility; policy; restriction; spatial distribution; temporal distribution; temporal distribution; injury severity; discrete choice modeling; restriction; abbreviated injury score; spatial distribution; ban; intoxication; Micromobility; policy
• ISSN: 0022-4375
• DOI: 10.1016/j.jsr.2024.09.006

•Investigating the effect of restrictions on spatiotemporal distribution of crashes.•Employing a logit model to analyze the injury severity of crashes after restrictions.•Significant decrease in number of crashes after restrictions, especially on weekends.•Spread of crashes in the outer city as well as the inner city after restrictions.•Increased injury severity due to riders’ alcohol intoxication.
Introduction: The emergence of shared electric scooter (e-scooter) services has introduced a new mobility option in numerous urban areas worldwide. Safety concerns surrounding e-scooter riding have prompted some cities to impose bans or restrictions on shared e-scooters. This study aims to assess the impact of e-scooter restriction policies, on the spatiotemporal distribution of e-scooter injuries and factors influencing injury severity in Helsinki, Finland, in 2021 and 2022. These restrictions include banning shared e-scooter use from midnight to 5 a.m. on weekends and reducing speeds during certain hours. Method: This study employed an ordered logit model, heatmap analysis of crash locations, and temporal analysis across different time frames to achieve these objectives. Results: The findings indicate a 64% reduction in the number of e-scooter injuries after the restrictions. However, the severity of injuries experienced only a slight decrease. Notably, the trend of injury severity appeared smoother in 2022 compared to 2021, with spikes occurring from Friday to Sunday. The spatial distribution of crashes revealed that, in 2021, most crashes were concentrated in the city center, while in 2022, the crash locations were more scattered, partly due to the increased area serviced by e-scooters. The results also underscored the substantial impact of alcohol intoxication, as it significantly increased the probability of more severe injuries. Furthermore, higher age groups and people using e-scooters from 4 p.m. to 9 p.m. are more likely to experience higher injury severity after the restrictions were implemented. These research outcomes offer valuable insights for other cities, providing lessons on how to tailor policies to effectively reduce the number of e-scooter-related injuries.