None listed
Conditions
Brief summary
This study will investigate helmet use among riders of e-bikes, pedal bikes, and e-scooters in Canberra and evaluate the impact of safety and legal messaging signage on helmet-wearing behaviour. Helmet use will be observed in public settings using discreet video recording, and de-identified hospital emergency department data will be analysed to assess head injury presentations associated with cycling and e-scooter use. A voluntary survey of adult Canberra residents will explore attitudes toward helmet use and perceptions of deterrent fines. All data will be de-identified, securely stored, and analysed in aggregate to protect participant privacy. The study is expected to provide evidence to inform public safety policy and injury prevention strategies in urban transport settings.
Interventions
This study includes a quasi-experimental public health signage intervention and observational exposure assessment. Three high-traffic urban bike paths in Canberra will be selected. At baseline, helmet use among riders of e-bikes, pedal bikes, and e-scooters will be observed using discreet video recording over two-week periods, covering morning and afternoon peaks on weekdays and weekends. Discreet video surveillance will document helmet compliance, vehicle type, estimated age group, gender presentation, and weather conditions. Baseline observations will establish typical compliance rates, demographic patterns, and contextual factors that may influence helmet-wearing behaviour. Following the 2 week observation period at the three sites, two intervention sites will receive signage designed to promote helmet use, while a third site will serve as a control with no signage. At one intervention site, three signs spaced approximately 50 metres apart will emphasise the health and safety benefits of helmet use using visual and textual messaging. At the second intervention site, three signs spaced approximately 50 metres apart will highlight legal penalties for non-compliance with helmet laws, including fine amounts and potential demerit points. Signage will remain in place throughout the post-intervention observation period of approximately 2 months. Observational periods are predicted to capture 30–50 riders per hour per site, requiring approximately 30–40 hours of recording per site over the study. The primary exposure is the presence and type of signage (health-benefit messaging versus legal-penalty messaging versus no signage). Additional exposures assessed observationally include rider vehicle type (e-bike, pedal bike, e-scooter), estimated age group, gender presentation, and environmental conditions such as weather. No direct interaction with riders will occur. The intervention is passive, population-level, and delivered in a public setting.
Sponsors
Study design
Eligibility
Inclusion criteria
Observational component (helmet use monitoring) All riders of e-bikes, pedal bikes, and e-scooters who pass through the selected urban bike path sites during observation periods and whose helmet use can be clearly determined from video recordings. Hospital data component All de-identified emergency department presentations at The Canberra Hospital involving head injury associated with cycling or e-scooter use during the study period. Survey component Adults aged 18 years or older who reside in Canberra and provide informed consent to participate in the survey.
Exclusion criteria
Observational component (helmet use monitoring) Riders whose helmet use cannot be reliably determined due to visual obstruction, poor lighting, adverse weather, or insufficient video quality. Hospital data component Emergency department records that are incomplete or missing key variables required for analysis (for example, injury mechanism or vehicle type), where de-identified data are insufficient for classification. Survey component Individuals younger than 18 years of age, individuals who do not reside in Canberra, and individuals who do not provide informed consent or submit incomplete survey responses.