Abstract:Crowd activities, spatial characteristics, and facility use in street landscapes can reflect the vitality and recognition of streets and provide references and ideas for shaping landscapes in urban renewal and new district construction. This paper, taking the street landscape of Jiangbei New District in Nanjing as the research object, explores the street crowd’s composition, the type of activity, and the distribution of functional formats along the street. It uses the Baidu heat map to sort out the spatio-temporal distribution of crowd activities and excavate important node spaces. At the same time, this paper uses spatial syntax to study the spatial logic of the street network, selects quantitative indicators such as integration, connection, and average depth, and sorts out the morphological characteristics of the street road network. Through the spatial perception evaluation of the SD method, it provides data support for street spatial form improvement, fa?ade renewal, greening colorization, etc. Furthermore, through the satisfaction analysis of street facilities, the transformation needs of street landscape facilities elements and important node spaces are sorted out. Finally, the author proposes a dynamic shaping strategy for the street landscape in Jiangbei New District, Nanjing, and the relevant research results can provide new planning and design analysis methods, design basis, and concepts for street landscape optimization in the construction of open new areas and the transformation of old districts.