摘要
为探究电动两轮车风险驾驶行为产生的原因及其影响因素,通过问卷调查方式对183位电动两轮车骑行者进行问卷调查,经过探索性因素分析(EFA)得到了包括风险驾驶行为、情绪状态、利他主义、风险感知能力、驾驶自信和冒险意识的6因子结构模型。研究了统计学信息、6因子与交通事故之间的相互关系,构建了基于Logistic回归的交通事故预测模型,利用验证性因素分析(CFA)对该模型进行了验证。研究表明:日均里程、风险驾驶行为、工作时长、冒险意识是影响交通事故的重要参数。
In order to explore the causes and influencing factors of risky driving behavior of electric twowheeled vehicles,a questionnaire survey was conducted among 183 electric two-wheeled cyclists. After exploratory factor analysis(EFA),a 6-factor structural model was established. These factors include risk driving behavior,emotion State,altruism,risk perception,driving self-confidence and risk awareness.The relationship between statistical information,the 6 factors and traffic accidents were studied to establish a traffic accident prediction model based on Logistic regression. This model was validated by the Factor Analysis(CFA). Research shows that daily mileage,risk driving behavior,working hours,risk awareness are important parameters affecting traffic accidents.
引文
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