Identification and Characterization of Production–Living–Ecological Space in a Central Urban Area Based on POI Data: A Case Study for Wuhan, China

Cities are the main carriers of high population agglomeration and socio-economic activities also areas where contradictions among production, living, ecological space concentrated. Effective identification production–living–ecological is conducive to balanced sustainable development urban space. First, this paper analyzes formation mechanism connotation constructs classification system point-of-interest (POI) data. Then, it identifies in central area Wuhan effectively by using analytic hierarchy process, spatial analysis method, quadrat proportion method verifies accuracy sampling verification method. Last but not least, adopts auto-correlation Geo-detector reveal heterogeneity its driving factors. The results indicate that: (1) overall test 92.86%. (2) There a significant correlation production space, living with being dominant secondary intersected embedded north south banks Yangtze River. (3) Results factor show that elements comprising life services, corporate enterprises, scenic spots play leading role realizing respectively, interactions between these have effect on three types prove POI big data more scientific practical planning, can provide useful reference for planning.