An Analysis of Pedestrian Movement in Multilevel Complex by Space Syntax Theory： In the Case of Shibuya Station

作     者：Jumpei Ueno Aya Nakazawa Tatsuya Kishimoto 

作者机构：Graduate School of Science and Technology Keio University Japan Department of System Design Engineering Keio University Japan 

出 版 物：《Journal of Civil Engineering and Architecture》 (土木工程与建筑（英文版）)

年 卷 期：2012年第6卷第7期

页      面：787-798页

学科分类：0301[法学-法学] 03[法学] 030101[法学-法学理论] 08[工学] 0835[工学-软件工程] 081202[工学-计算机软件与理论] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：活动空间 法理 行人 多级 日本东京 周边地区 空间模型 铁路公司 

摘      要：In recent years, the major Japanese railway stations have been rebuilt into building complex with deep underground and high-rise floors by the redevelopment projects. These projects probably raise the attractiveness of stations and increase the numbers of users, but on the other hand, it is expected that its complexity will make it hard for the users to get to their destinations. In this study, spaces to own such a configuration are defined as ＂complicated multilayered space＂. There are former researches, which analyses the space around stations and their outskirts, done by Parvin, A. But, there are few studies which analyses pedestrian flow of spaces inside the station and its surrounding areas. The purpose of this paper is to handle a large station which contains many lines as a model case of complicated multilayered space and understand how pedestrians choose their route in such a large multilevel complex based on Space Syntax theory. As an example, this analysis is applied to Shibuya station, Tokyo, Japan, before the redevelopment. Shibuya station has four railway companies and eight routes, has complicated multilayered space; from the second floor above the ground to the third basement, and is used by more than two million passengers per day in 2007. Moreover, Shibuya station will have new route and have more complicated multilayered space; to fifth basement in 2008 afler the redevelopment. There are two features in this study. First, relations between pedestrian flow and various indexes of space syntax theory （especially, Visibility Graph Analysis） within the complicated multilayered space are investigated. Second, an integrated model which estimates the number of pedestrian flow within the target space according to the space syntax indexes is developed and compared with the actual measurement to verify the effectiveness of each indexes. As a result, it became clear quantitatively that the choice of routes is influenced by three causes： one＇s visual range, the