Effect of Space Configurational Attributes on Social Interactions in Urban Parks

Urban parks are one of the most common spaces for social interactions in modern cities. The design of park spaces, especially space configuration, has significant influences on people's social behaviors in parks. In this study, the associations between space configurational attributes and social interactions were investigated using space syntax theory. An observation analysis of social behaviors was carried out in two urban parks in Beijing, China. Nine space configurational attributes, including depth to the gate, depth to the main road, connectivity, normalized angular integration (NAIN), and normalized angular choice (NACH) with three radii, were calculated using a segment model. The variance analysis and regression analysis reveal the strong joint effect of space type, space scale factors, and space configurational attributes on social interaction behaviors in parks. The personal interaction group contained 23% of the total observed people involved in social interactions. Pathway length, zone area, and NACH-10K (NACH with a radius of 10,000 m) are positively associated with the number of people involved in personal interactions. For the social interaction group (77% of the total observed people), the space scale and depth to main city road were found to have a positive and negative influence on social interaction intensity.

Automated summary

The study investigated the associations between space configurational attributes and social interactions in urban parks using space syntax theory. It found that space type, scale factors, and configurational attributes have a strong joint effect on social interaction behaviors. Personal interaction group accounted for 23% of total observed people, while social interaction group accounted for 77%. Pathway length, zone area, and NACH-10K were positively associated with the number of people involved in personal interactions, while space scale and depth to main city road had influence on social interaction intensity.