Risk and type of crash among young drivers by rurality of residence: findings from the DRIVE Study

Accid Anal Prev. 2009 Jul;41(4):676-82. doi: 10.1016/j.aap.2009.03.005. Epub 2009 Apr 2.


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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • 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