고속도로 교통사고 주 원인의 영향요인에 관한 연구

Abstract

This study suggests the strategies to research the impactive factors about the major causes in freeway accidents by using binominal logistic regression analysis. The major causes are derived from Spearman's rank correlation coefficient: those are nap driving and over speed driving. To quantify the human, road, and environmental attributes which impact nap driving and over speed driving, we can developed the logistic regression model that classify better than that of basics. The 6th variables, the time of day, the distance of origin, weather condition, ages, horizontal line type, and vertical line type, are statistically significant to the nap and over speed driving. According to the result, we can fine the fact that the probability of nap driving are high at the nighttime, in long driving distance, at Friday, in the fine weather, in the left curve and sag sections, non-work zone and in female, aged drivers, and the probability of over speed driving are high in the weekday afternoon, adversed weather conditions, in the right curve with a turning radius below 500m sections, at the climbing grade over 3% sections, in the work zone and female, aged drivers. The result may used to develop the education program for the drivers causing accidents and to decide the criterion of premium insurance rates. It may also used to establish the standards of freeway design and that of law enforcement agencies activity. The other factors affect to the nap and over speed driving and how they impact maybe considered in the future researches.