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Dimensions of aberrant driver behaviour

L Aberg1, P A Rimmö

  • 1Department of Psychology, Uppsala University, Sweden.

Ergonomics
|February 20, 1998
PubMed
Summary
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This study refined the Driver Behaviour Questionnaire (DBQ) by adding new items, revealing four key driver error factors: violations, dangerous errors, inattention errors, and inexperience errors. Inattention errors increased with age, suggesting links to automated driving behaviors.

Area of Science:

  • Psychology
  • Transportation Science
  • Human Factors

Background:

  • Driver errors are a significant factor in road safety.
  • Previous research identified key categories of driver errors.
  • The Driver Behaviour Questionnaire (DBQ) is a widely used tool for assessing these errors.

Purpose of the Study:

  • To replicate and extend previous findings on driver errors using an updated Driver Behaviour Questionnaire (DBQ).
  • To investigate the factor structure of driver errors with new questionnaire items.
  • To identify specific error types that may correlate with demographic factors such as age.

Main Methods:

  • A survey was conducted with over 1400 drivers.
  • New items were added to the existing Driver Behaviour Questionnaire (DBQ).

Related Experiment Videos

  • Factor analysis was used to determine the underlying structure of driver errors.

    • Main Results:

    • The original DBQ data confirmed a three-factor structure.
    • Analysis with the expanded DBQ supported a four-factor solution.
    • The new factors identified were violations, dangerous errors, inattention errors, and inexperience errors.
    • Inattention errors showed a positive correlation with driver age.

    Conclusions:

    • The updated DBQ provides a more nuanced understanding of driver error types.
    • Inattention errors, which increase with age, may be linked to the automatization of driving.
    • These findings have implications for driver training and road safety interventions.