Decisions relating to alcohol-impaired driving: an exploratory analysis.
This paper focuses on an individual's decision to drive or not to drive after drinking. To evaluate this decision, a utility maximizing probabilistic choice model is specified and estimated using a sample of college students. The estimation results provide interesting insights relating to the potential effectiveness of drinking-driving countermeasures, and suggest that the most effective methods of reducing the probability of driving after drinking are those advertising and awareness campaigns that focus on altering individual preferences.
Mannering
F L
FL
Department of Civil Engineering, University of Washington, Seattle 98195.
Bottiger
W K
WK
Black
K L
KL
D000328:Adult; D000428:Alcohol Drinking / Q000523:psychology*; D001334:Automobile Driving; D003657:Decision Making; D005260:Female; D006801:Humans; D008297:Male; D008962:Models, Theoretical; D011336:Probability