基于空间句法理论,通过与垂直联系的距离及其类型对多层面步行系统的人流预测模型进行修正.以两个轨交站区的多层面步行系统为例,分析发现距离及类型两个因子均对行人流量产生不同程度的影响,在分别采用两种修正方法之后,人流预测模型的预测能力均得到较为显著的提高.
Based on the theory of space syntax,this paper presents two correction methods of prediction model of pedestrian movement by introducing the distance and type of vertical transition.Two case studies of the multi-level systems in the metro station area show that the pedestrian movement can be influenced by either the distance or the type of vertical transition to different degrees.Furthermore,both of the two correction methods significantly improve the ability of the prediction models of the pedestrian movement.