The Influence of Spatial Grid Division on the Layout Analysis of Urban Functional Areas

ISPRS International Journal of Geo-Information

Mingyi Du¹  Xiaoyu Liu¹  Shaohua Luo¹  Siyan Gao¹  Yang Liu¹  Pengfei Wang¹ 

[1] School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 102616, China;

关键词: spatial grid;    point of interest;    function identification;    spatial distribution;   

DOI  :  10.3390/ijgi10030189

来源: DOAJ

【 摘 要 】

The identification of urban functional areas is essential for urban planning and sustainable development. Spatial grids are the basic units for the implementation of urban plans and management by cities or development zones. The emergence of internet “big data” provides new ideas for the identification of urban functional areas. Based on point of interest (POI) data from Baidu Maps, the Xicheng District of Beijing was divided into grids with side lengths of 200, 500, and 1000 m in this study. The kernel density method was used to analyze the spatial structure of POI data. Two indicators, that is, the frequency density and category ratio, were then used to identify single- and mixed-functional areas. The results show that (1) commercial and financial areas are concentrated in the city center and multiple business centers have not developed; (2) scenic areas account for the largest proportion of single-functional areas in the Xicheng District of Beijing, followed by education and training, residence, and party and government organizations areas; and (3) the 200 × 200 m and 500 × 500 m grids are the most suitable for the identification of single- and mixed-functional areas, respectively.

【 授权许可】

Unknown