Association between public space and resident outdoor activity behavior in urban areas surrounding lakes

This study integrates Behavior Setting Theory with GIS spatial analysis to elucidate the association between public space characteristics and resident outdoor activity behavior in urban areas surrounding lakes, using Nanchang’s Qingshan Lake as a case study. Applying this integrated framework, we systematically analyzed the spatio-temporal distribution of resident activities, activity type preferences, and their interactions with the spatial environment. Employing multi-source data, we developed a dynamic “people-space” interaction model. The empirical findings led to the proposal of targeted micro-renewal strategies for public spaces surrounding lakes, focusing on five key aspects: enhancing safety and resilience, ensuring seamless connectivity, promoting ecological integration, creating narrative environments, and shaping spatial affordances. This research provides a scientific basis for improving the quality of public spaces surrounding urban lakes and resident well-being, offering actionable insights for the planning and design of similar urban waterfronts.