Exploring Spatial Patterns in Sustainable Integrated Districts: A Methodology for Early-Phase Urban Network Analysis

This paper presents a new methodology for early-phase analysis of large urban spatial networks. The study uses Social Network Analysis (SNA) based on Graph Theory to understand pedestrian connectivity in urban districts. It compares two SNA methods that capture pedestrian movement patterns differently. The presented study illustrates the comparative analysis of the methods using the case of one-north, a planning subzone in Singapore. The results provide important insights on the connectivity of one-north and enable the selection of smaller sub-sites for the next stage of the analysis. Furthermore, the research summarizes that both methods can be applied independently or combined in different scenarios based on the specific urban context. The combination of methods forms a novel hybrid approach to analyze pedestrian movement in integrated urban environments.