Network Science-based Analysis of Urban Green Spaces in Singapore

Abstract

Future resilient cities need to integrate increasing density with the development of urban infrastructure and systems, especially natural and green systems. In Singapore’s post-Independence history, urban green spaces have evolved from leftover manicured grassy areas to biodiverse spaces with recreational areas and facilities. Singapore has recognized the need to provide varying access to the public to protect the more natural areas from too much public access. In urban green spaces, different areas have varying access depending on the scale and significance of the natural habitat. This paper uses Spatial Network Analysis — or the study of topological spatial relationships — to inform the planning and design of varying levels of access in urban green spaces in Singapore. It investigates the influence of spatial configuration of urban green spaces on pedestrian movement, by studying two types of urban green spaces in Singapore: one-north Park and Jurong Lakeside Garden. In both cases, the research utilizes weighted Spatial Network Analysis using sDNA, an analytical tool, to gain insights into the correlations between spatial connectivity and pedestrian movement distribution patterns. Empirical quantitative data are collected using infrared-sensor devices and manual pedestrian count and activity mapping. The methodology can provide the basis for the future planning and design of pedestrian infrastructure in urban green spaces in Singapore, and other high-density cities.