Statistical Analysis of 1000 Suspected Drunk Driving Cases in Guizhou Province
Zhang Qua
Abstract
Zhang Qua
Abstract
Objective To provide scientific statistics for reducing and preventing traffic accidents by analyzing the characteristics of 1000 suspected drunk driving cases in Guizhou Province in 2012. Methods Road traffic violations and accidents caused by suspected drunk driving were tabled using Microsoft Excel and SPSS software. Results were classified by gender, age, time, vehicle model and blood alcohol concentration(BAC). Result The majority of offenders were men. Offenders aged between 20 years old to 50 years old accounted for 92%. Most accidents happened between 20:00 to 24:00 on main roads. About 46.72% of the accidents were caused by motorcycles. The determination result of BAC was that, of the total 1000 cases, 28.7% were negative, 9.3% were driving under the influence of alcohol and 59.5% were drunk driving. Conclusion There were some similarities in the 1000 cases and the study could be used as reference in preventing traffic accidents caused by drunk driving.
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Objective To provide scientific statistics for reducing and preventing traffic accidents by analyzing the characteristics of 1000 suspected drunk driving cases in Guizhou Province in 2012. Methods Road traffic violations and accidents caused by suspected drunk driving were tabled using Microsoft Excel and SPSS software. Results were classified by gender, age, time, vehicle model and blood alcohol concentration(BAC). Result The majority of offenders were men. Offenders aged between 20 years old to 50 years old accounted for 92%. Most accidents happened between 20:00 to 24:00 on main roads. About 46.72% of the accidents were caused by motorcycles. The determination result of BAC was that, of the total 1000 cases, 28.7% were negative, 9.3% were driving under the influence of alcohol and 59.5% were drunk driving. Conclusion There were some similarities in the 1000 cases and the study could be used as reference in preventing traffic accidents caused by drunk driving.
Key concepts: Drunk driving, Blood alcohol, Drunk drivers, Driving under the influence, Blood alcohol content, Environmental health, Medicine, Road traffic