Understanding the pattern and mechanism of spatial concentration of urban land use, population and economic activities: a case study in Wuhan, China

Quantifying the aggregation patterns of urban population, economic activities, and land use are essential for understanding compact development, but little is known about difference among distribution characteristics how built environment influences aggregation. In this study, five elements collected in Wuhan, China, namely population density, floor area ratio, business POIs, road network built-up as representative activities use. An inverse S-shape function employed to fit elements’ macro distribution. degree index proposed measure level elements. The kernel density estimation used identify patterns. spatial regression model factors influencing Results indicates that all decay outward from city center an manner. Point-of-Interest (POI) highly aggregated; ratio moderately aggregated, whereas poorly aggregated. Three types identified: a point-shaped pattern, axial pattern planar pattern. modeling shows associated with Destination accessibility factors, transit diversity shape POI density. Design positively Future planning should consider varying concentration well their relationships attributes. study will provide systematic use, megacities some suggestions development.