Title

Exploring the relationship between alcohol and the driver characteristics in motor vehicle accidents

Authors

Authors

M. A. Abdel-Aty;H. T. Abdelwahab

Comments

Authors: contact us about adding a copy of your work at STARS@ucf.edu

Abbreviated Journal Title

Accid. Anal. Prev.

Keywords

driver characteristics; alcohol; accidents; conditional probability; log-linear models; Ergonomics; Public, Environmental & Occupational Health; Social; Sciences, Interdisciplinary; Transportation

Abstract

This study examines the differences in alcohol-related accident involvement among different driver groups in the state of Florida. The driver characteristics considered in this study are: age, gender, race, and residency of the driver of a motor vehicle involved in an accident while under the influence of alcohol, drugs, or alcohol and drugs. The main objective of this study is to test whether there are associations between the different driver characteristics and alcohol involvement in traffic accidents, and to identify the high-risk group within each driver factor. This would improve our understanding of the relationship between alcohol involvement, accidents, and the four aforementioned driver factors. It would also enable us to better design educational and awareness programs targeting specific groups in the population to reduce drinking and driving in the state. The relationship between alcohol-related accident involvement and the driver factors are investigated using general descriptive statistics, conditional probabilities and log-linear models. The results showed that the 25-34 age group experience the highest rate of alcohol/drug involvement in accidents. The rates decline with the increase in the age of the drivers. The results also indicated that there are significant relationships between the driver characteristics and alcohol/drug involvement in accidents. Male, white, and in-state drivers were also more involved in alcohol/drugs-related traffic accidents. (C) 2000 Elsevier Science Ltd. All rights reserved.

Journal Title

Accident Analysis and Prevention

Volume

32

Issue/Number

4

Publication Date

1-1-2000

Document Type

Article

Language

English

First Page

473

Last Page

482

WOS Identifier

WOS:000087501900001

ISSN

0001-4575

Share

COinS