Typical patterns in road-traffic accidents during driver training: an explorative Swedish national study

Accid Anal Prev. 2004 Jul;36(4):603-8. doi: 10.1016/S0001-4575(03)00068-X.

Abstract

A new law came into force in Sweden on 1 September 1993, which makes instructor-assisted driving practice possible at the age of 16 years instead of the previous 17 years and 6 months. When the age limit was reduced, the possibility that this would lead to more road-traffic accidents (RTA) during driving practice was discussed. The aim of this study was to highlight typical road-traffic accident patterns and to discuss their potential for improved training and targeted prevention. A total of 11 variables (41 categories) descriptive of the 1081 RTA involving novice drivers and police registered during the period 1994-1999 were analysed simultaneously using in turn, two multivariate analysis techniques: the Factorial Analysis of Correspondence (FAC) and the Hierarchical Ascendant Classification (HAC). Four accident classes were identified and quantified, of which the first two were more typical of rural areas: (1). accidents in rural areas on straight stretches and related to speed limit 70 km/h (n = 306); (2). accidents in rural areas on straight stretches and high-speed related (n = 97); (3). accidents in built-up areas, low-speed related and of the type rear-end (n = 289); and (4). accidents in built-up areas, at road junctions and low-speed related (n = 380). Together, these classes point to a variety of opportunities to develop ways of working with targeted prevention. Instead of adopting a general attempt to counteract the relationship between individual variables and accidents, it is possible instead to focus on a whole context and its relationship with its typical accidents and any resulting injuries. This, in its turn, allows greater specificity in the build up of the Swedish licence and training regulations and its corresponding course curriculum.

MeSH terms

  • Accidents, Traffic / statistics & numerical data*
  • Adolescent
  • Adult
  • Age Factors
  • Automobile Driving / education*
  • Automobile Driving / legislation & jurisprudence
  • Female
  • Humans
  • Male
  • Middle Aged
  • Models, Statistical
  • Multivariate Analysis
  • Sweden