The Flow of Green Exercise, Its Characteristics, Mechanism, and Pattern in Urban Green Space Networks: A Case Study of Nangchang, China

An urban green space network provides safe and exercise routes for residents. This study selected Nanchang as the area. Using fitness application data, we explored mobility of people exercising in network, i.e., flow exercise. Spatial analysis based on social networks, GIS, gravity model was used to analyze nodes, characteristics, mechanism The results show that there were differences hierarchy attractiveness nodes. Distance had an important influence It found walkers moved between adjacent parks, runners visited more parks corridors, while cyclists covered longer distances preferred explore suburban spaces. length route spaces a positive effect mobility. Because many combinations patches three subnetworks formed. In addition, expanded scope services central node. management should pay attention value networks create hierarchical interconnected exercisers.