LONG-TERM PREDICTABILITY OF DRIVER BEHAVIOR

Multiple regression was used to predict current accidents and violations for 2283 subjects from Iowa and California who had completed the Driver Attitude Survey (Schuster and Guilford, 1964) 10-18 years previously and had driver records recorded at that time. It was found that, on the whole, current violations could be successfully predicted with these data, while current accidents could not be. The results lead to the conclusion that violation behavior is more stable over time than had previously been acknowledged, previous research having looked at driver behavior in consecutive time periods only.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/00014575
• Corporate Authors:

  Pergamon Press, Incorporated

  Headington Hill Hall
  Oxford OX30BW,    
• Authors:
  • Miller, T M
  • SCHUSTER, D H
• Publication Date: 1983-2

Media Info

• Features: References; Tables;
• Pagination: p. 11-22
• Serial:
  • Accident Analysis & Prevention
  • Volume: 15
  • Issue Number: 1
  • Publisher: Elsevier
  • ISSN: 0001-4575
  • Serial URL: http://www.sciencedirect.com/science/journal/00014575

Subject/Index Terms

• TRT Terms: Attitudes; Behavior; Crashes; Drivers; Forecasting; Multiple regression analysis; Time duration
• Uncontrolled Terms: Long term; Violations
• Old TRIS Terms: Multiple regression
• Subject Areas: Highways; Safety and Human Factors;

Filing Info

• Accession Number: 00387761
• Record Type: Publication
• Source Agency: National Highway Traffic Safety Administration
• Report/Paper Numbers: HS-036 432
• Files: HSL, TRIS, USDOT
• Created Date: Aug 30 1984 12:00AM