A Space Syntax Analysis of Spatial Patterns for Large-scale Shopping Centers

• Main Authors: Yeh, Chun-Hung, 葉峻宏
• Other Authors: Yuo, Tony Shun-Te
• Format: Others
• Language: zh-TW
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/jsbnj5

碩士 === 國立臺北大學 === 不動產與城鄉環境學系 === 100 === 　There has no useful tool to help real estate analysts measure the space allocation in retail properties. Space Syntax is a way to represent, describe and evaluate spatial configurations or patterns created through building. Shape recognition techniques transform the plan into a mathematical network that can be analyzed. Some researches have applied it to give some suggestions to the space allocation in the large-scale properties, but not clear enough. Furthermore those researches didn’t survey and solve the arguments of space syntax principles which are not unique and not objective. 　This research has several objectives from examining the space syntax approach. Firstly, to review and examine the feasibility of measurements produced by space syntax software, Depth Map, for large-scale retail properties. Some appropriate adjustments were suggests and some arguments for the ambiguity were discussed. Secondly, by using the adjusted axial line methods and the measurements, this reasearch attempts to reveal the differences between various space allocation patterns. Especially the impact from total floor levels, number of anchor stores and spatial complexities. The third purpose is using space syntax to examine the space allocation strategies of different retailers. Combing GIS and Space Syntax, using the data of 13 cases from US and UK, this research revealed the significantly relationship between space syntax indexes and shoppers’ flow, and suggests that depth related and integration related measurements have significance impact for the degree of departmentalization and the patterns of space allocation.