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Driving Under the Influence: How Music Listening Affects Driving Behaviors
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Driving errors, driving violations and accident involvement.

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Self-reported driving violations strongly predict accident liability, unlike errors or lapses. This study categorizes aberrant driving behaviors to enhance road safety strategies.

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Area of Science:

  • Psychology
  • Traffic Safety
  • Behavioral Science

Background:

  • Aberrant driving behaviors are a significant factor in road accidents.
  • Previous research identified three types: lapses, errors, and violations.
  • Understanding the relationship between these behaviors and accident liability is crucial.

Purpose of the Study:

  • To validate a typology of aberrant driving behaviors.
  • To investigate the relationship between self-reported driving behaviors and accident liability.
  • To identify demographic correlates of different driving behavior types.

Main Methods:

  • Survey of over 1600 drivers using the Driver Behaviour Questionnaire.
  • Assessment of the reliability of the survey instrument over time.
  • Statistical analysis to determine predictors of accident liability.

Main Results:

  • The Driver Behaviour Questionnaire demonstrated reliability.
  • Self-reported tendency to commit violations was a significant predictor of accident liability.
  • Tendencies towards lapses and errors did not predict accident liability.

Conclusions:

  • Driving violations are the primary behavioral predictor of accident liability.
  • Targeting driving violations is key for effective road safety interventions.
  • The findings support a typology of aberrant driving behaviors for future research and policy.