Street connectivity analysis using UCL Depthmap version 10

Abstract

Connectivity of the street network means spatial integration of human with a space. UCL Depthmap version 10 is one of the softwares that apply the Theory of Space Syntax in analyzing space for people movement. However, there is still a need to explore how the software can reveal spatial I behavior in street network. The aim of this study is to establish street connectivity analysis using UCL Depth map version 10 in street network environment. Three street networks of the community centers at Taman Universiti, Bandar Putra and Bandar Baru Uda were used for the analysis. Firstly, the maps of the study areas were digitized from Google map into drawing format using AutoCAD 2013 and later to import to UCL Depthmap. There are four analyses applicable in UCL Depthmap that were utilized for the street connectivity analysis: Visibility Graph Analysis, Convex Map Analysis, Axial Map Analysis and Segment Map Analysis. The finding suggests that Visibility Graph Analysis is reliable to determine visual of spatial connection in street network and able to show the most visible space in the lead to the connection between streets. Convex Map Analysis in UCL Depthmap is suitable to show the quality of space within spaces in street network. Meanwhile, Axial Map Analysis is capable to determine the level of connectivity in streets especially links: street to streets, street to nodes or node to streets, node to nodes. Segment Map Analysis shows the integration of human activities such as walking, cycling and driving in the street network which reflect to accessibility and centrality in street connectivity. The paper implies that UCL Depthmap is one of the analysis tools of space syntax that lead to reveal street network connectivity in urban centers.