Research on feature recognition and optimization of public space in winter city based on the promotion of physical activity-A case study of Harbin

Urban public space is an important space carrier of residents' physical activity. In winter city, residents' physical activities may present different patterns. With the development of digital media, it is possible to collect large-scale data of residents. Taking Harbin as an example, we collected the users’ data and their physical activity types and intensity from Sina Weibo, and mapped to GIS to explore its spatial and temporal distribution, and analyze the influencing factors and spatial composition. The results show that: residents’ physical activity show obvious weekend, holiday and seasonal fluctuations, and the space of individual and group activity preference is significantly different; climate conditions affect the time choice of activities; the type of public spaces has a significant impact on activities. Based on this, a method for promoting the layout and optimization of urban cold public space based on physical activity characteristic is proposed, which provides new insights for promoting the potential health benefits of urban public space in cold climates.