LONGITUDINAL STUDY OF CALIFORNIA DRIVER ACCIDENT FREQUENCIES I: AN EXPLORATORY MULTIVARIATE ANALYSIS
The longitudinal study attempts to develop an optimum accident prediction system using nine year driving history records of a large sample of California drivers and biographical and mileage exposure data collected through a questionnaire survey. An exploratory non-concurrent regression analysis on three year accident interval produced a prediction equation with 29 predictor variables and a multiple correlation coefficient of .271. Among the variables which discriminated between accidents and non-accident drivers were prior conviction frequencies and prior accidents. Drivers with prior accidents and convictions were more likely to have accidents in subsequent time periods.
- Sponsored in part by Federal Highway Administration, Washington, D.C.
California State Department of Motor VehiclesDevelopment and Consultation Section
Sacramento, CA United States 95818
Washington, DC United States 20590
- Kwong, K W
- KUAN, J
- Peck, R
- Publication Date: 1976-6
- Pagination: 57 p.
- TRT Terms: Crash rates; Data collection; Driver records; Drivers; Forecasting; Hazards; Licenses; Mathematical prediction; Multivariate analysis; Prevention; Questionnaires; Regression analysis; Risk assessment; Safety; Traffic crashes
- Uncontrolled Terms: Motor vehicle accidents
- Geographic Terms: California
- Old TRIS Terms: Reggression analysis
- Subject Areas: Data and Information Technology; Highways; Safety and Human Factors; Security and Emergencies;
- Accession Number: 00166273
- Record Type: Publication
- Source Agency: National Technical Information Service
- Report/Paper Numbers: CAL-DMV-RSS-76-55 Final Rpt.
- Files: TRIS, USDOT, STATEDOT
- Created Date: Sep 20 1978 12:00AM