TY  - JOUR
PY  - 2002//
TI  - Using logistic regression to estimate the influence of accident factors on accident severity
JO  - Accident analysis and prevention
A1  - Al-Ghamdi, Ali S.
SP  - 729
EP  - 741
VL  - 34
IS  - 6
N2  - Logistic regression was applied to accident-related data collected from traffic police records in order to examine the contribution of several variables to accident severity. A total of 560 subjects involved in serious accidents were sampled. Accident severity (the dependent variable) in this study is a dichotomous variable with two categories, fatal and non-fatal. Therefore, each of the subjects sampled was classified as being in either a fatal or non-fatal accident. Because of the binary nature of this dependent variable, a logistic regression approach was found suitable. Of nine independent variables obtained from police accident reports, two were found most significantly associated with accident severity, namely, location and cause of accident. A statistical interpretation is given of the model-developed estimates in terms of the odds ratio concept. The findings show that logistic regression as used in this research is a promising tool in providing meaningful interpretations that can be used for future safety improvements in Riyadh.
LA  - en
SN  - 0001-4575
UR  - http://dx.doi.org/
ID  - ref1
ER  -