A study on the image of Guilin’s urban central space from multidimensional views

In the context of high-quality urban development, strengthening the distinct characteristics of the city itself has become a hot topic. This study focuses on the present Guilin’s urban central space as its research object, aiming to explore the characteristics of Guilin city image through three dimensions: traditional method, spatial syntax, and big data analysis. By exploring the differences presented across these dimensions, the study seeks to analyze the influence of human activities on the spatial form of the city. The investigation reveals that the current development of Guilin’s urban central space manifests a diverse cognitive image characterized by large dispersion, small aggregation, and weak systematicity. The influence of natural landscape on the development of city images in Guilin’s urban central space lies in its ability to facilitate the outlanders’ macroscopic cognition of Guilin’s unique landscape characteristics. However, it also hinders the development of the road network in the urban area, resulting in reduced spatial accessibility and cognitive intensity. In short, Guilin’s urban central space requires systematic integration of the development of multiple images in its future development. This approach entails strengthening the accessibility of public transportation and effectively enhancing the coordination of its unique landscape and natural elements with the development of other urban spaces. Moreover, this study attempts to provide insights into the future planning of cities from the perspective of integrated image development. In addition, it represents a pioneering effort to acquire data and analyze methodologies for cognitive research on city morphology and city image

Computer vision · Economic geography · Geography · Urban space · Computer Science · Place Attachment and Urban Studies · Urban Design and Spatial Analysis · Urban Green Space and Health