Abstract: Holiday traffic has exhibited its own obvious character and regularity different from work days, thus there is huge difference between the travel activities on holidays and that of on work days. It is necessary to analyze holiday travel activities caused by individual characteristics. To obtain this result, cross-tabulation method was used and some individual characteristics such as gender, career, age, vehicle ownership and education etc. were selected as influencing factors. Based on holiday travel questionnaires in Beijing, the relationship between individual characteristics and holiday activity pattern choosing has been studied and the correlation of different characteristics and most influential activity patterns was analyzed. Results indicate that individual characteristics including age, career, and inhabitant sites are the most influential factors to the holiday activity patterns.

Key words: holiday traffic, trip chain, activity pattern, cross tabulation

摘要： 节假日出行活动与日常出行活动差别较大，从而节假日交通与平日交通相比呈现出明显的不同于平日的特征和规律。本文通过北京市黄金周出行问卷调查结果，构建节假日出行的活动模式，采用交叉列联分析方法探讨节假日活动模式与个人属性相关性，分析个人属性中的性别、职业、年龄、是否拥有小汽车、受教育程度的不同所引起的个体活动模式的差异，并对比个人属性对节假日出行和日常出行典型活动模式选择影响的差异。得出个人属性与节假日出行典型活动模式选择的相关性和各属性下的显著影响活动模式，为节假日交通对策的制定提供给出依据。

关键词: 节假日交通, 出行链, 活动模式, 交叉列联分析