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.
Department of Civil Engineering, University of Washington, Seattle 98195.
F L
FL
Mannering
W K
WK
Bottiger
K L
KL
Black
D000328:Adult; D000428:Alcohol Drinking / Q000523:psychology*; D001334:Automobile Driving; D003657:Decision Making; D005260:Female; D006801:Humans; D008297:Male; D008962:Models, Theoretical; D011336:Probability