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Understanding electric scooter safety through driver's lens using protection motivation theory

  • Kuldeep Singh Sodha
  • , Oliver Hall
  • , Yasir Ali*
  • , Nazam Ali
  • *Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    29 Downloads (Pure)

    Abstract

    Drivers significantly contribute to electric scooter (e-scooter) rider's safety, but the literature is devoid of any evidence of how drivers behave around e-scooters. Understanding driver's behavioural intentions will allow devising evidence-based recommendations to enhance e-scooter safety. Advancing nascent vehicle-e-scooter safety literature, this study presents a novel Protection Motivation Theory to develop a theoretical framework to examine driver's threat and coping appraisals' association with intentions to adopt cautious driving behaviours around e-scooters. Collecting data from 474 licensed drivers and developing a partial least squares-structural equation model, we test several hypotheses to understand driver's perspectives of sharing the road with e-scooters. Results suggest that perceived severity and response efficacy are positively associated with cautious driving intentions. Perceived vulnerability is negatively associated with protection intentions, whereas self-efficacy does not influence cautious driving intentions. Further, prior e-scooter riding experience moderates the relationship between perceived vulnerability and cautious driving intentions. Importance-performance analysis suggests that interventions enhancing coping appraisal (response efficacy) should be prioritised and complemented with fear-appeal campaigns. Overall, the study addresses a critical gap at the intersection of driver psychology and e-scooter safety by highlighting the role of appropriate infrastructure design and the adoption of emerging technologies that can help reduce risks.

    Original languageEnglish
    Article number107017
    Number of pages15
    JournalCities
    Volume173
    Early online date25 Mar 2026
    DOIs
    Publication statusPublished - 1 Jun 2026

    Keywords

    • Driver perception
    • E-scooters
    • Micromobility
    • Mixed traffic
    • Protection motivation theory

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