歩行者交通量に基づく地下空間における歩行者の起点・終点の推定

抄録

 Underground spaces connected with railway stations gather a large amount of pedestrians. Clarifying pedestrians' movement in underground space is important for flow control and evacuation planning. Based on a traffic flow survey data, this paper aims to estimate pedestrians' movement in underground shopping streets. There is difficulty in estimating Origin-Destination (OD) matrix directly from flow count data when trip assignment proportion is not determined. This paper firstly adopts a network simplification approach to obtain the link-couple flow count constraints, and address multi-path trip assignment proportion. Next, an entropy model is developed to estimate the OD matrix which represents the trip demand between entrances and exits. Using the estimated OD matrix we discuss the trip distribution tendency at different time intervals. Also, we demonstrate pedestrians' spatio-temporal distribution in the shopping street network based on trip assignment model.