The interactionist nature of drinking and driving: a structural model

Area of Science:

• Psychology
• Criminology
• Traffic Safety

Background:

• Drink-driving remains a significant public health and safety concern globally.
• Previous models often focused on single determinants, limiting comprehensive understanding.
• An interactionist approach offers a more holistic framework for analyzing complex behaviors like drink-driving.

Purpose of the Study:

• To develop and test a structural model integrating personal and situational factors in drink-driving offending.
• To identify key predictors of self-reported drink-driving behavior.
• To explore the interplay between individual characteristics and situational influences on offending.

Main Methods:

• A survey of 1011 UK driver's licence holders.
• Data collection on demographics, driving experience, deterrence, attitudes, and specific drink-driving behaviors.
• Multiple regression analyses to identify significant predictors.

Main Results:

• Seven variables (five personal, two situational) explained 46% of the variance in undetected drink-driving offending.
• Age and safe alcohol consumption estimates showed direct effects.
• Alcohol consumption and breath test exposure had both direct and indirect effects.
• Attitudinal factors (deterrence belief, alternative transport) and prior charge exposure showed direct and spurious links.

Conclusions:

• An interactionist approach is valuable for understanding drink-driving behavior.
• Specific personal and situational factors significantly predict offending.
• Findings have implications for developing targeted countermeasures to reduce drink-driving.