An assessment of the effect of driver age on traffic accident involvement using log-linear models

    Authors

    M. A. Abdel-Aty; C. L. Chen;J. R. Schott

    Comments

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    Abbreviated Journal Title

    Accid. Anal. Prev.

    Keywords

    accident involvement; driver age; traffic safety; log-linear models; accident analysis; CRASH; Ergonomics; Public, Environmental & Occupational Health; Social; Sciences, Interdisciplinary; Transportation

    Abstract

    Statistical models were developed to help understand the relationship between the driver age and several important accident-related factors and circumstances such as injury severity, collision types, average daily traffic (ADT), roadway character, speed ratio, alcohol involvement, and accident location. By using techniques of categorical analysis on the 1994 and 1995 Florida accident database, four log-linear models with three variables in each model with all possible two-way interactions were developed. In order to compare the differences in response between the age groups and a particular accident-related variable, odds multipliers were computed. The effects of age and accident-related factors were examined, and interactions among them were considered. The results indicated significant relationships between the driver age and ADT, injury severity, manner of collision, speed, alcohol involvement, and roadway character. The findings' contribution to the understanding of the effect of age on accident involvement is addressed. A discussion of how log-linear and legit modeling with estimation of 'odds multipliers' may contribute to traffic safety studies is also provided. (C) 1998 Elsevier Science Ltd. All rights reserved.

    Journal Title

    Accident Analysis and Prevention

    Volume

    30

    Issue/Number

    6

    Publication Date

    1-1-1998

    Document Type

    Article

    Language

    English

    First Page

    851

    Last Page

    861

    WOS Identifier

    WOS:000076613500016

    ISSN

    0001-4575

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