Drinking Driver and Traffic Safety Project. Volume 2, Probabilities for Drinking Drivers

Details

• Creators:
  McEachern, Alexander
• Corporate Creators:
  University of Southern California. Public Systems Research Institute
• Corporate Contributors:
  United States. National Highway Traffic Safety Administration
• Subject/TRT Terms:
  • Drivers
  • Drunk drivers
  • Drunk driving
  • Driver rehabilitation
  • Recidivists
  • Mathematical prediction
  • Probability
• Publication/ Report Number:
  DOT-HS-800-700
• DOI:
  https://doi.org/10.21949/1524858
• Resource Type:
  Research Paper
• Geographical Coverage:
  United States
• Edition:
  Final report
• Corporate Publisher:
  United States. National Highway Traffic Safety Administration
• Abstract:
  This is the second volume of a final report of a four-year study of drinking drivers. It includes a brief description of a prediction model developed from over 4000 cases, including drinking drivers, recidivist drinking drivers and drivers license applicants who had never been convicted of drunk driving. Tables of probabilities of being a drunk driver (as opposed to not being a drunk driver) and of being a recidivist drunk driver (as opposed to a one-time drunk driver) are presented. The five variables used in the prediction model are: education, total number of minor traffic violations, age, number of accidents, and total number of non-traffic arrests. The probabilities associated with all possible combinations of characteristics on these five variables are presented, along with a brief description of how they might be used as aids to administrative or judicial decisions. /Abstract from report summary page/
• Format:
  PDF
• Funding:
  FH-11-7099
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/1082/dot_1082_DS1.pdf
• File Type:
  [PDF - 19.65 MB]
• Collection(s):
  NHTSA - Behavioral Safety Research
• Main Document Checksum:
  urn:sha256:ea3669ecf0bf9d038c0518f2e3ed38e5f02fd602ea18fd7949b8ee31e89643ba