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Article

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

1
School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 102616, China
2
Beijing Advanced Innovation Center for Future Urban Design, Beijing University of Civil Engineering and Architecture, Beijing 100044, China
*
Author to whom correspondence should be addressed.
Academic Editors: Mei-Po Kwan and Wolfgang Kainz
ISPRS Int. J. Geo-Inf. 2021, 10(3), 189; https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10030189
Received: 30 December 2020 / Revised: 21 February 2021 / Accepted: 19 March 2021 / Published: 22 March 2021
(This article belongs to the Special Issue Geospatial Methods in Social and Behavioral Sciences)
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. View Full-Text
Keywords: spatial grid; point of interest; function identification; spatial distribution spatial grid; point of interest; function identification; spatial distribution
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MDPI and ACS Style

Luo, S.; Liu, Y.; Du, M.; Gao, S.; Wang, P.; Liu, X. The Influence of Spatial Grid Division on the Layout Analysis of Urban Functional Areas. ISPRS Int. J. Geo-Inf. 2021, 10, 189. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10030189

AMA Style

Luo S, Liu Y, Du M, Gao S, Wang P, Liu X. The Influence of Spatial Grid Division on the Layout Analysis of Urban Functional Areas. ISPRS International Journal of Geo-Information. 2021; 10(3):189. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10030189

Chicago/Turabian Style

Luo, Shaohua, Yang Liu, Mingyi Du, Siyan Gao, Pengfei Wang, and Xiaoyu Liu. 2021. "The Influence of Spatial Grid Division on the Layout Analysis of Urban Functional Areas" ISPRS International Journal of Geo-Information 10, no. 3: 189. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10030189

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