Abstract: With the rapid increase of car ownership, urban traffic congestion and environmental pollution problems are becoming increasingly serious. At the same time, with the relaxation of household registration restrictions, the number of urban people has increased significantly, and the traffic problem has become more serious. This paper takes private cars in Xi'an, Shaanxi Province as the research object, and studies the distribution characteristics of intensity of private car travel and travel time in this typical city in China. A suitable structural equation model is established for intensity of travel affected by different drivers' personal attributes, and the influence of personal attributes on travel intensity is analyzed. Then, the chi-square test is carried out on the travel time affected by different driver attributes, and the attributes that have obvious influence on the travel characteristics are screened out, and then the data is visualized and the influence of these attributes on the travel characteristics is analyzed, and finally the management suggestions are put forward based on the analysis results. The analysis results showed that age and occupation showed a significant positive correlation on the travel intensity, and the education level showed a significant negative correlation on travel intensity. The travel characteristics of private cars on weekdays and weekends are significantly different; At the same time, age, occupation, and the education level are the main factors affecting the characteristics of travel time of private car.

Key words: Travel characteristics; Private car; Travel intensity; Time distribution; Structural equation; Chi-square

摘要： 伴随着汽车保有量的快速增加，城市交通拥堵与环境污染问题日益严重。同时随着放 宽户籍限制政策使得城市人口数量大幅度增加，交通问题愈发严重。文章以陕西省西安市私 家车为研究对象，对这座国内典型城市的私家车出行强度和出行时间的分布特征进行了研究。 对不同驾驶员个人属性所影响的出行强度建立了合适的结构方程模型，分析个人属性对出行 强度的影响。然后对不同驾驶员属性所影响的出行时间进行卡方检验，筛选出对出行特征有 明显影响的属性，接着对数据进行可视化处理并分析这些属性对出行特征的影响规律，最后 结合分析结果提出管理建议。分析结果表明，年龄、职业对出行强度呈现显著的正相关性， 教育程度对出行强度呈现显著的负相关性。私家车工作日和周末的出行特征明显不同；同时， 年龄、职业、受教育程度是影响私家车出行时间特征的主要因素。

关键词: 出行特征；私家车；出行强度；时间分布；结构方程；卡方检验