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BACKGROUND: Most previous literature on urban/rural differences in road crashes has a primary focus on severe injuries or deaths, which may be largely explained by variations of medical resources. Little has been reported on police-reported crashes by geographical location, or crash type and severity, especially among young drivers. METHODS: DRIVE is a prospective cohort study of 20,822 drivers aged 17-24 in NSW, Australia. Information on risk factors was collected via online questionnaire and subsequently linked to police-reported crashes. Poisson regression was used to analyse risk of various crash types by three levels of rurality of residence: urban, regional (country towns and surrounds) and rural. RESULTS: Compared to urban drivers, risk of crash decreased with increasing rurality (regional adjusted RR: 0.7, 95% CI 0.6-0.9; rural adjusted RR: 0.5, 95% CI 0.3-0.7). Among those who crashed, risk of injurious crash did not differ by geographic location; however, regional and rural drivers had significantly higher risk of a single versus multiple vehicle crash (regional adjusted RR 1.8, 95% CI 1.3-2.5; rural adjusted RR: 2.0, 95% CI 1.1-3.6), which was explained by speeding involvement and road alignment at the time or site of crash. CONCLUSIONS: Although young urban drivers have a higher crash risk overall, rural and regional residents have increased risk of a single vehicle crash. Interventions to reduce single vehicle crashes should aim to address key issues affecting such crashes, including speeding and specific aspects of road geometry.

Original publication

DOI

10.1016/j.aap.2009.03.005

Type

Journal article

Journal

Accid Anal Prev

Publication Date

2009

Volume

41

Pages

676 - 682

Keywords

Accidents, Traffic/*statistics & numerical data Adolescent Adult Age Factors Automobile Driving/*statistics & numerical data Automobiles/*statistics & numerical data Confidence Intervals Female Humans Male New South Wales Prospective Studies Residence Characteristics/*statistics & numerical data Risk Risk Assessment Risk Factors Rural Population/*statistics & numerical data Urban Population/*statistics & numerical data Young Adult