中文摘要：

为分析驾驶人个人特征与行车速度之间的关系，采用个人属性调查和实车试验相结合的方法，获得80份驾驶人行车速度记录数据。按照驾驶人行车超速时间与总行车时间的比例，将驾驶人超速选择行为区间划分为4个小区间。运用非集计理论，将驾驶人的性别、年龄、性格、教育程度、驾龄等个人特征作为影响因素，并将4个小区间作为4个选择肢，建立了驾驶人个人特征对行车速度的影响度量模型，并结合弹性理论分析了各个影响因素的敏感度。分析结果表明：驾驶人的性别、年龄、教育程度、矫正视力、职业驾驶人和发生交通事故6个影响因素对应的弹性值均小于1．ooo，说明上述因素对速度选择行为缺乏弹性；在4个小区间上，驾驶人的驾龄对应的弹性值分别为6．287、3．211、3．438和2．450，性格对应的弹性值分别为1．249、1．045、2．033和3．672，说明性格和驾龄2个影响因素对行车速度选择行为富有弹性．影响显著．

英文摘要：

In order to analyze the relationship between driver personal characteristics and vehicle velocity, the method of combining personal attribute survey and real vehicle test was carried out, and the vehicle velocity record data of 80 drivers were obtained. According to the ratio of over speed time and total travel time for driver, the section of over speed selection behavior for driver was divided into 4 small sections. By using disaggregate theory, the personal characteristics of driver such as sex, age, personality, education level and driving age were taken as influence factors, the 4 small sections were taken as alternative parts, the influence measurement model of the personal characteristics of driver on vehicle velocity was set up, and the sensitivity of each influence factor was analyzed based on elasticity theory. Analysis result shows that all the 6 elasticity values of sex, age, education level, corrected vision, professional driver, traffic accident occurrence are less than 1. 000, so the above 6 influence factors are short of elasticity to speed selection behavior. In the 4 small sections, the elasticity values of driving age are 6. 287, 3. 211, 3.438 and 2. 450 respectively, the elasticity values of personality are 1. 249, 1. 045,2. 033 and 3. 672 respectively, the 2 influence factors are rich in elasticity to speed selection behavior, and their effects are significant. 8 tabs, 11 figs, 18 refs.