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.
Longitudinal Study of California Driver Accident Frequencies I: An Exploratory Multivariate Analysis
1976
57 pages
Report
Keine Angabe
Englisch
Exploratory Multivariable Analyses of California Driver Record Accident Rates
Online Contents | 1998
|Exploratory Multivariable Analyses of California Driver Record Accident Rates
Transportation Research Record | 1998
|The distribution and prediction of driver accident frequencies
Elsevier | 1971
The distribution and prediction of driver accident frequencies
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