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Bevan Rowland

Biographic Data

ID6804448
NAMEBevan Rowland
GIVEN NAMESBevan
FAMILY NAMERowland
SIGNATUREROWLAND B
AFFILIATIONSUniversity of the Sunshine Coast
ORCID0000-0002-6741-4609
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2023
H-INDEX0
  • Australian daily cannabis users' use of police avoidance strategies and compensatory behaviours to manage the risks of drug driving

    Open Access•Laura Mills, James Freeman et al.•ARTICLE•Drug and Alcohol Review•2023

  • Exactly how dangerous is drink driving? An examination of vehicle crash data to identify the comparative risks of alcohol-related crashes

    Open Access•Steven Love, Bevan Rowland et al.•ARTICLE•Crime Prevention and Community…•2023•References: 1

    This study aimed to explore how specific situational variables (remoteness, speed zones, days of the week, hours of the day) and risk factors (risky behaviours and road-related conditions) might influence the comparative likelihood and severity of alcohol-related crashes (ARCs). Vehicle crash data ( N = 63,226) were analysed and included the details of crashes between 2015 and 2019. In comparison to non-ARCs, ARCs were up to two times more likely…

No prominent works on this page.

  • Australian daily cannabis users' use of police avoidance strategies and compensatory behaviours to manage the risks of drug driving

    Open Access•Laura Mills, James Freeman et al.•ARTICLE•Drug and Alcohol Review•2023

  • Exactly how dangerous is drink driving? An examination of vehicle crash data to identify the comparative risks of alcohol-related crashes

    Open Access•Steven Love, Bevan Rowland et al.•ARTICLE•Crime Prevention and Community…•2023•References: 1

    This study aimed to explore how specific situational variables (remoteness, speed zones, days of the week, hours of the day) and risk factors (risky behaviours and road-related conditions) might influence the comparative likelihood and severity of alcohol-related crashes (ARCs). Vehicle crash data ( N = 63,226) were analysed and included the details of crashes between 2015 and 2019. In comparison to non-ARCs, ARCs were up to two times more likely…

Environmental health (2 works) · Injury prevention (2 works) · Medicine (2 works) · Poison control (2 works) · Psychology (2 works) · Apprehension (1 works) · Cannabis (1 works) · Cannabis and Cannabinoid Research (1 works) · Computer Science (1 works) · Crash (1 works)

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