Abstract: In urban life, compared with the same age group of male contrast, the statistical indicators of female travel behavior show significant differences. According to the sample data of Beijing 2005 travel survey, the paper analyzes the female travel behavior in the travel rate, travel consumption, trip purpose, and travel mode. Furthermore, the paper introduces the concept of the trip chain, to construct a female morning commuter trip chain choice behavior model with noncollection theories and methods, to analyze 10 factors that influence a female individual’s choice of a trip chain from the source. Subsequently, model parameters are estimated, to calculate the incidents that can help to quantitatively understand the impact of each factor on a female’s choice of the trip chain. The results show that the travel rate of elderly women is far lower than that of elderly men. Female travel proportion in shopping and social activities is obviously higher than that of male travelers, and factors related to the structure of families create important constraints in their average travel time consumption. The main travel mode of the female is walking, which is far more than that of a male. Age, whether they hold licenses, monthly income, and transport ownership are dominant factors for the female’s choice of the trip chain.

Key words: female travelers, travel behavior, discrete model, trip chain

摘要： 在城市生活中，相对于同年龄层男性的对比群体，女性出行行为的各项统计指标具有显著差异。本文基于2005年北京市居民出行调查的样本数据，比较分析了女性的出行行为在出行率、出行时耗、出行目的及出行方式等方面的特征。进一步地，引入了出行链的概念，利用非集计理论和方法，构建了女性早通勤出行链选择行为模型，从源头上分析影响女性个体出行链选择行为的10个重要因素；并利用模型估计所得的参数计算事件发生比，量化了各个影响因素对女性出行链选择行为的影响程度。研究结果表明：女性老年人的出行率远低于男性老年人；女性在购物和社会生活等出行目的上的出行比例明显高于男性，且平均出行时耗受家庭结构因素的制约较为突出；女性出行采用的主要交通方式为步行，且远高于男性的相应值；年龄、是否持有驾照、家庭月收入、家庭交通工具拥有情况是影响女性出行链选择行为的主导因素。

关键词: 女性出行者, 出行行为, 非集计模型, 出行链