| Title |
Modeling Traffic Accident Characteristics and Severity Related to Drinking-Driving |
| Keywords |
drinking-driving;log-linear model;severity;ordinal regression model;traffic accident;음주운전;로그선형모형;심각도;순위회귀모형;교통사고 |
| Abstract |
Traffic accidents are caused by several factors such as drivers, vehicles, and road environment. It is necessary to investigate and analyze them in advance to prevent similar and repetitive traffic accidents. Especially, the human factor is most significant element and traffic accidents by drinking-driving caused from human factor have become social problem to be paid attention to. The study analyzes traffic accidents resulting from drinking-driving and the effects of driver"s attributes and environmental factors on them. The study is composed as two parts. First, the log-linear model is applied to analyze that accidents by drink-ing or non-drinking driving associate with road geometry, weather condition and personal characteristics. Probability is tested for drinking-driving accidents relative to non-drinking drive accidents. The study analyzes probability differences between genders, between ages, and between kinds of vehicles through odds multipliers. Second, traffic accidents related to drinking are classified into property damage, minor injury, heavy injury, and death according to their severity. Heavy injury is more serious than minor one and death is more serious than heavy injury. The ordinal regression models are established to find effecting factors on traffic accident severity. |