摘要
To study the influencing factors of traffic violations,this study investigated the effects of vehicle attribution,day of week,time of day,location of traffic violations,and weather on traffic violations based on the electronic enforcement data and historical weather data obtained in Shangyu,China.Ten categories of traffic violations were determined from the raw data.Then,chi-square tests were used to analyze the relationship between traffic violations and the potential risk factors.Multinomial logistic regression analyses were conducted to further estimate the effects of different risk factors on the likelihood of the occurrence of traffic violations.By analyzing the results of chi-square tests via SPSS,the five factors above were all determined as significant factors associated with traffic violations.The results of the multinomial logistic regression revealed the significant effects of the five factors on the likelihood of the occurrence of corresponding traffic violations.The conclusions are of great significance for the development of effective traffic intervention measures to reduce traffic violations and the improvement of road traffic safety.
为了研究交通违法行为的影响因素,以上虞市电子执法数据和历史天气数据为基础,研究了车辆属性、违法时间段、违法时间是否为工作日、违法地点和天气对交通违法行为的影响.从原始数据中确定了10类交通违法行为,运用卡方检验方法分析交通违法行为与潜在影响因素之间的关系.为了进一步估计不同影响因素对交通违法行为发生的可能性的影响,进行了多元logistic回归分析.通过对SPSS卡方检验结果的分析,上述5个因素均被确定为与交通违法行为显著相关的因素.多元logistic回归结果显示,这5个因素对相应的交通违法行为发生的可能性有显著影响.这些结论对制定有效的交通干预措施,减少交通违法行为,提高道路交通安全水平具有重要意义.
基金
The National Key Research and Development Program of China(No.2019YFB1600200).
