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Mapping Urban Spatial Structure Based on POI (Point of Interest) Data: A Case Study of the Central City of Lanzhou, China

College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China
Information Center for Global Change Studies, Lanzhou Information Center of Chinese Academy of Sciences, Lanzhou 730000, China
Institute of County Economy Developments & Rural Revitalization Strategy, Lanzhou University, Lanzhou 730000, China
School of Architecture & Urban Planning, Lanzhou Jiaotong University, Lanzhou 730070, China
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2020, 9(2), 92;
Received: 12 January 2020 / Revised: 21 January 2020 / Accepted: 27 January 2020 / Published: 1 February 2020
(This article belongs to the Special Issue Measuring, Mapping, Modeling, and Visualization of Cities)
The study of urban spatial structure is currently one of the most popular research fields in urban geography. This study uses Lanzhou, one of the major cities in Northwest China, as a case area. Using the industry classification of POI data, the nearest-neighbor index, kernel density estimation, and location entropy are adopted to analyze the spatial clustering-discrete distribution characteristics of the overall economic geographical elements of the city center, the spatial distribution characteristics of the various industry elements, and the overall spatial structure characteristics of the city. All of these can provide a scientific reference for the sustainable optimization of urban space. The urban economic geographical elements generally present the distribution trend of center agglomeration. In respect of spatial distribution, the economic geographical elements in the central urban area of Lanzhou have obvious characteristics of central agglomeration. Many industrial elements have large-scale agglomeration centers, which have formed specialized functional areas. There is a clear “central–peripheral” difference distribution in space, with an obvious circular structure. Generally, tertiary industry is distributed in the central area, and secondary industry is distributed in the peripheral areas. In general, a strip-shaped urban spatial structure with a strong main center, weak subcenter and multiple groups is present. Improving the complexity of urban functional space is an important goal of spatial structure optimization. View Full-Text
Keywords: spatial structure; POI; urban; kernel density; Lanzhou spatial structure; POI; urban; kernel density; Lanzhou
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Lu, C.; Pang, M.; Zhang, Y.; Li, H.; Lu, C.; Tang, X.; Cheng, W. Mapping Urban Spatial Structure Based on POI (Point of Interest) Data: A Case Study of the Central City of Lanzhou, China. ISPRS Int. J. Geo-Inf. 2020, 9, 92.

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