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首页> 外文期刊>Open Journal of Applied Sciences >Research on the Drunk Driving Traffic Accidents Based on Logistic Regression Model
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Research on the Drunk Driving Traffic Accidents Based on Logistic Regression Model

机译:基于Logistic回归模型的酒后驾驶交通事故研究。

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Most of the current studies on drunk driving accidents focus on law making and public education. However, especially in China, there is less statistical analysis on the severity of drunk driving accidents between driving under the influence of alcohol (DUI) and driving while intoxicated (DWI). 3368 drunk driving related crashes were collected from the blood-alcohol test report in a city of China at 2012 and 2013. After data pre-processing, Chi-square tests were used to analyze the association between different variables and the type of drunk driving. The logistic regression model is conducted to estimate the effect of the variables under DUI and DWI. The results show that Hour of the day, Driver’s age, Driver’s casualties and Accident area have significant correlation with drunk driving. There was a slightly decrease by 0.995 per year with age and a slightly increase by 1.014 with time in the possibility of DWI. DWI is more likely to cause death in traffic accidents (OR = 1.316) than DUI. Driver’s deaths (OR = 2.346) is more likely to happen than the injuries (OR = 1.910) under DWI cases. These findings show that more attention should be paid to strengthen controls on the DWI. It also can provide important basis for accident prevent, traffic law enforcement and traffic management.
机译:当前有关醉酒驾驶事故的大多数研究都集中在立法和公众教育上。但是,尤其是在中国,关于酒后驾车(DUI)和酒后驾车(DWI)之间的醉酒驾驶严重性的统计分析很少。从2012年和2013年中国某城市的血液酒精检测报告中收集了3368次与酒后驾车相关的撞车事故。在对数据进行预处理之后,使用卡方检验分析了不同变量与酒后驾车类型之间的关联。进行逻辑回归模型以估计DUI和DWI下变量的影响。结果表明,一天中的小时,驾驶员的年龄,驾驶员的伤亡和事故区域与酒后驾车有显着相关性。随着年龄的增长,每年随着年龄的增长略有下降,为0.995,随着时间的推移,略有上升,为1.014。 DUI比DUI更有可能在交通事故中导致死亡(OR = 1.316)。在DWI案件中,驾驶员的死亡(OR = 2.346)比伤害(OR = 1.910)更有可能发生。这些发现表明,应更加注意加强对DWI的控制。它也可以为事故预防,交通执法和交通管理提供重要依据。

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