北京市居民出行方式人群分类

Segmentation of Travel Mode Group for Beijing Residents

为识别出行者选择不同出行方式的差异,将多重对应分析法应用到行为领域进行出行人群分类。根据北京市居民日常出行问卷调查,利用结构方程模型选择出对出行方式影响比较显著的变量,分析出行人属性、出行属性、出行偏好和出行方式之间的定量关系。根据选择出来的指标把出行人群划分成5个类别,分析每类群体所倾向的出行方式并针时不同群体提出相应的措施,以引导居民出行。

To identity difference between residents with different travel behaviors, the multiple correspon- dence analysis method was applied in travel behavior field to divide travel groups. Based on the investigat- ing conducted in Beijing, the structural equation model was applied to choose the certain indicators which have significant effect on travel mode. The relationship between the residents＇ personal attributes, trip characteristics, preference as well as travel mode were explored. The travelers were divided into five class- es according to the chosen indexes, the prefer travel mode in each classes was examined. Polices were put forward to guide the residents＇ travel for each class.