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.


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    Titel :

    Longitudinal Study of California Driver Accident Frequencies I: An Exploratory Multivariate Analysis


    Beteiligte:
    K. W. Kwong (Autor:in) / J. Kuan (Autor:in) / R. C. Peck (Autor:in)

    Erscheinungsdatum :

    1976


    Format / Umfang :

    57 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch