Identification of multi-center spatial structure in Beijing core area based on multi-source data

Abstract

The city center plays an important role in the functioning of the city and the multi-center spatial structure has become an important urban space model. In this paper, the urban POI (Points of Interest) data and road network data are used as the basic data sources, and the results of their kernel density analysis are used to construct an urban multi-center spatial structure identification method based on the localized contour tree. Taking the core area of Beijing as an example to achieve a more refined and efficient extraction of the multi-center spatial structure of the study area. Identifying the multi-center spatial structure of the core area of Beijing has reference significance for urban development planning.