TECHNIQUES FOR PREDICTING HIGH-RISK DRIVERS FOR ALCOHOL COUNTERMEASURES. VOLUME I: TECHNICAL REPORT

The report, a companion to the Volume II User Manual by the same name, describes the development and testing of predictive models for identifying individuals with a high risk of alcohol/related (A/R) crash involvement. Prospective analyses of the models' predictive capabilities using 1976 crash data indicated that, in general, they effectively identify the driver subgroups that have the highest risk of A/R crash involvement. Because most of the information used in the model development is readily available in most governmental jurisdictions, the models can be adapted for use in areas other than North Carolina.

• Record URL:
  http://www.hsrc.unc.edu/research_library/PDFs/Techniques79.ocr.pdf
• 
• Supplemental Notes:
  • See also Volume 2, PB-298 562.
• Corporate Authors:

  University of North Carolina, Chapel Hill

  Highway Safety Research Center
  Chapel Hill, NC  United States  27599

  National Highway Traffic Safety Administration

  1200 New Jersey Avenue, SE
  Washington, DC  United States  20590
• Authors:
  • Lacey, J H
  • Stewart, J R
  • Council, F M
• Publication Date: 1979-5

Media Info

• Pagination: 155 p.

Subject/Index Terms

• TRT Terms: Countermeasures; Crash injury research; Crashes; Demographics; Drivers; Drunk drivers; Drunk driving; Forecasting; Hazards; Identification systems; Law enforcement; Males; Manuals; Mathematical models; Prevention; Recidivism; Research; Risk assessment; Safety; Traffic crashes; Traffic safety
• Uncontrolled Terms: Models; Motor vehicle accidents
• Geographic Terms: North Carolina
• Old TRIS Terms: Identifying
• Subject Areas: Highways; Research; Safety and Human Factors; Security and Emergencies; Society;

Filing Info

• Accession Number: 00199127
• Record Type: Publication
• Source Agency: National Technical Information Service
• Report/Paper Numbers: DOT-HS-804-851
• Contract Numbers: DOT-HS-5-01250
• Files: TRIS, USDOT
• Created Date: Dec 19 1980 12:00AM