Dangers of e-mobility: A systematic review and meta-analysis of sustained injury patterns and injury severity

Niemann, Marcel; Braun, Karl F.; Otto, Ellen; Tiefenbrunner, Michael; Wüster, Jonas; Stöckle, Ulrich; Ahmad, Sufian S.; Märdian, Sven; Graef, Frank

doi:10.1016/j.ssci.2023.106283

Cited by 6 publications

(1 citation statement)

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“…In the wake of the worldwide deployment of e-scooter-sharing services, researchers globally have disseminated disconcerting findings about injuries associated with e-scooters [7,[11][12][13]. Consequently, predicated on anecdotal insights, antecedent to the commencement of our study, a prevailing conjecture emerged that the incidence of such injuries in Lithuania would likely parallel or potentially surpass those reported elsewhere.…”

Section: Discussionmentioning

confidence: 92%

Unveiling the Surge: A Comprehensive Analysis of E-Scooter-Related Injuries at an Urban Level 1 Trauma Center in Vilnius, Lithuania (2018-2021)

Suslavičius,

Utkus,

Uvarovas

et al. 2024

Cureus

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BackgroundThe surge in electric scooter (e-scooter) adoption in 2019 fueled by sharing platforms has raised safety concerns, leading to an increased incidence of e-scooter-related injuries. Despite regulatory efforts, there has been a notable rise in accidents, prompting a comprehensive investigation. This study conducted at the Republican Vilnius University Hospital (RVUH), a level 1 trauma center, is one of the first in the Baltic States aiming to analyze the causes, severity, and frequency of e-scooter injuries from 2018 to 2021. This research addresses a critical gap in understanding e-scooter safety in the Baltic States, providing valuable insights for informed policy and preventive measures. MethodologyThis retrospective study analyzed e-scooter-related injuries in Vilnius, Lithuania, from April to September during 2018-2021. Data from the RVUH emergency department were examined. Using keywords such as "scooter" and "electric," relevant cases were extracted from the RVUH electronic health system. Included were individuals, both riders and pedestrians, with clear e-scooter involvement, excluding duplicates, those under 18, and users of other types of scooters. Extracted medical records provided data on demographics, injury specifics, helmet use, alcohol consumption, and more. Trauma severity was assessed through the New Injury Severity Score (NISS) and Abbreviated Injury Scale (AIS). Statistical analysis utilized GraphPad Prism software and Excel, adhering to ethical guidelines with RVUH Bioethics Committee approval. ResultsOver four years, 1,036 e-scooter-related injuries at RVUH revealed a gender-based shift, with males sustaining more injuries. The introduction of rentals in 2019 triggered a 334% surge in injuries compared to 2018. Despite an annual 208% increase from 2018 to 2021, 2021 saw a 710.93% rise. Trauma severity remained consistent, with AIS scores 1 and 2 being prevalent. Non-helmet wearers constituted 97.97%, and soft tissue damage was predominant. Ownership patterns shifted toward rentals (81.15%), reflecting the popularity of sharing platforms. Alcohol influence showed no significant change, but intoxicated patients had a higher surgery rate during four years. Mechanism analysis highlighted tripping as the primary cause. Injury characteristics revealed fractures in 34.56% of cases, primarily affecting upper limbs (53.35%). Soft tissue trauma was prominent (65.44%), with lower limbs being significantly impacted. ConclusionsThe surge in e-scooter injuries demands urgent preventive action. While most injuries are mild, a significant proportion is moderate to severe, even fatal. Inadequate education, lax enforcement, and uneven infrastructure contribute to the risk. Urgent measures, including road maintenance, speed reduction, and mandatory helmet use, are crucial. Clarity in government directives for designated e-scooter areas is vital. Further research is needed to understand the broader impact of informed policymaking and safer urban mobility. Expanding research to other Lithuanian regions wo...

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Section: Discussionmentioning

confidence: 92%

Unveiling the Surge: A Comprehensive Analysis of E-Scooter-Related Injuries at an Urban Level 1 Trauma Center in Vilnius, Lithuania (2018-2021)

Suslavičius,

Utkus,

Uvarovas

et al. 2024

Cureus

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User-centered AI-based voice-assistants for safe mobility of older people in urban context

Jnr.

2024

AI & Soc

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Voice-assistants are becoming increasingly popular and can be deployed to offers a low-cost tool that can support and potentially reduce falls, injuries, and accidents faced by older people within the age of 65 and older. But, irrespective of the mobility and walkability challenges faced by the aging population, studies that employed Artificial Intelligence (AI)-based voice-assistants to reduce risks faced by older people when they use public transportation and walk in built environment are scarce. This is because the development of AI-based voice-assistants suitable for the mobility domain presents several techno–social challenges. Accordingly, this study aims to identify user-centered service design and functional requirements, techno–social factors, and further design an architectural model for an AI-based voice-assistants that provide personalized recommendation to reduce falls, injuries, and accidents faced by older people. Accordingly, a scoping review of the literature grounded on secondary data from 59 studies was conducted and descriptive analysis of the literature and content-related analysis of the literature was carried out. Findings from this study presents the perceived techno-socio factors that may influences older people use of AI-based voice-assistants. More importantly, this study presents user-centred service design and functional requirements needed to be considered in developing voice-assistants suitable for older people. Implications from this study provides AI techniques for implementing voice-assistants that provide safe mobility, walkability, and wayfinding for older people in urban areas.

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Ready, set, scoot! Investigating implicit attitudes toward risky e-scooter riding situations: A go/no-go association task study

Meir,

Parmet,

Borowsky

2025

Safety Science

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Dangers of e-mobility: A systematic review and meta-analysis of sustained injury patterns and injury severity

Cited by 6 publications

References 50 publications

Unveiling the Surge: A Comprehensive Analysis of E-Scooter-Related Injuries at an Urban Level 1 Trauma Center in Vilnius, Lithuania (2018-2021)

Unveiling the Surge: A Comprehensive Analysis of E-Scooter-Related Injuries at an Urban Level 1 Trauma Center in Vilnius, Lithuania (2018-2021)

User-centered AI-based voice-assistants for safe mobility of older people in urban context

Ready, set, scoot! Investigating implicit attitudes toward risky e-scooter riding situations: A go/no-go association task study

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