基于因子分析的交通事故影响因素及其机理研究

该研究采用因子分析和聚类分析方法,深入探讨城市交通事故的成因及其影响机理。通过对交通事故数据的细致清洗和信息挖掘,分析事故时间特征及驾驶员特征。研究结果揭示早晚高峰时段事故高发的现象,并指出影响事故的主要因素。此外,还发现中雨天气下事故高发,以及外市车辆在事故中占有一定比例。研究提出针对性的预防措施,如发展公共交通、错峰上下班政策、加强驾照审核和提高驾驶员安全意识等,旨在为交通管理部门提供科学依据,以降低事故发生率。

The study used factor analysis and cluster analysis methods to deeply discuss the causes and impact mechanisms of urban traffic accidents.Through careful cleaning and information mining of traffic accident data,the accident time characteristics and driver characteristics are analyzed.The research results reveal the high incidence of accidents during morning and evening peak hours,and point out the main factors affecting accidents.In addition,it was also found that accidents were high in moderate rain,and vehicles from other cities accounted for a certain proportion of accidents.The study proposes targeted preventive measures,such as developing public transportation,off-peak commuting policies,strengthening driver's license review and improving driver safety awareness,aiming to provide scientific basis for traffic management departments to reduce accident rates.