Understanding Urban Land Growth through a Social-Spatial Perspective

To understand the urbanization process, it is essential to detect urban spatial growth and study relations with social development. In this study, we take Wuhan as a case examine land patterns how factors relate evolution between 1990, 2000, 2010. We first classify cover using Landsat images during various stages based on landscape metrics regarding area, density, shape. Afterwards, principal component analysis census data are used extract key factors. Thirdly, apply geographically weighted regression (GWR) depict link The results indicate that coalescence diffusion simultaneously exist, for which redevelopment, infilling, edge expansion dominate city center, dominates peripheral areas. have global relationships areas while local non-stationarity presents in patch shape irregularities. Industrial upgrading, educational levelling up, population aging show significant heterogeneities relationships. simulation of relationship provides social-spatial perspective growth. authors conclude sustainable management should consider coexistence different models underline transitions when examining process. This works cities rapidly urbanizing countries or regions.