Electric personal mobility device driver behaviors, their antecedents and consequences: A narrative review

Laverdet, Clément; Malola, Pascal; Meyer, Thierry; Delhomme, Patricia

doi:10.1016/j.jsr.2023.07.006

Journal of Safety Research

2023

DOI: 10.1016/j.jsr.2023.07.006

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Electric personal mobility device driver behaviors, their antecedents and consequences: A narrative review

Clément Laverdet,

Pascal Malola,

Thierry Meyer

et al.

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2024

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Cited by 4 publications

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‘I mean, I wouldn't say I was sober’: Exploring the psychosocial impact of e‐scooter injuries and aligning a collaborative public health response

Piatkowski,

Moran,

Canty

et al. 2024

Health Prom J of Aust

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Issue AddressedE‐scooters are sought after for their cost‐effectiveness, sustainability, and efficiency in urban transportation. However, this popularity has been accompanied by a surge in injuries, prompting a deeper investigation into the factors influencing risk perceptions among e‐scooter users.MethodsUsing a qualitative approach, we conducted 19 interviews with those who attended an emergency department as a result of e‐scooter injury. We aimed to understand the psychosocial effects of these incidents and employed thematic analysis to discern recurrent patterns in participants' experiences, focusing on alterations in daily life, community response, perception shifts, and avenues to enhance safety awareness.ResultsThe findings underscored significant disruptions to daily life due to injuries, demonstrating enduring impacts on lifestyle and wellbeing. Participants exhibited a perceptual shift, transitioning from perceiving e‐scooters as enjoyable to viewing them as dangerous. Recommendations for enhancing safety awareness included accessible and clear safety education, pre‐ride briefings, real‐time safety guidance, temporal rental restrictions, and mandatory breathalysers before e‐scooter use.ConclusionsThe study underscores the importance of considering not only the individual experiences and perceptions of e‐scooter injuries but also the broader social context, including the night‐time economy. Leveraging peer narratives and community engagement is vital to reshape risk perceptions and promote harm reduction messages.So What?A comprehensive approach through proactive interventions and robust educational strategies is essential to foster responsible e‐scooter usage and prioritise public safety.

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‘I mean, I wouldn't say I was sober’: Exploring the psychosocial impact of e‐scooter injuries and aligning a collaborative public health response

Piatkowski,

Moran,

Canty

et al. 2024

Health Prom J of Aust

View full text Add to dashboard Cite

show abstract

Critical risk factors associated with fatal/severe crash outcomes in personal mobility device rider at-fault crashes: A two-step inter-cluster rule mining technique

Tamakloe,

Zhang,

Hossain

et al. 2024

Accident Analysis & Prevention

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A hybrid Machine learning and statistical modeling approach for analyzing the crash severity of mobility scooter users considering temporal instability

Sadeghi,

Aghabayk,

Quddus

2024

Accident Analysis & Prevention

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Electric personal mobility device driver behaviors, their antecedents and consequences: A narrative review

Cited by 4 publications

References 75 publications

‘I mean, I wouldn't say I was sober’: Exploring the psychosocial impact of e‐scooter injuries and aligning a collaborative public health response

‘I mean, I wouldn't say I was sober’: Exploring the psychosocial impact of e‐scooter injuries and aligning a collaborative public health response

Critical risk factors associated with fatal/severe crash outcomes in personal mobility device rider at-fault crashes: A two-step inter-cluster rule mining technique

A hybrid Machine learning and statistical modeling approach for analyzing the crash severity of mobility scooter users considering temporal instability

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