Mapping Urban Spatial Structure Based on POI (Point of Interest) Data: A Case Study of the Central City of Lanzhou, China
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...
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| Format: | Article |
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MDPI AG
2020-02-01
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| Series: | ISPRS International Journal of Geo-Information |
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| Online Access: | https://www.mdpi.com/2220-9964/9/2/92 |
| _version_ | 1819146172314419200 |
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| author | Chenyu Lu Min Pang Yang Zhang Hengji Li Chengpeng Lu Xianglong Tang Wei Cheng |
| author_facet | Chenyu Lu Min Pang Yang Zhang Hengji Li Chengpeng Lu Xianglong Tang Wei Cheng |
| author_sort | Chenyu Lu |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-22T13:09:42Z |
| format | Article |
| id | doaj.art-52e141152c094b0383a77d837c6ba4a3 |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-12-22T13:09:42Z |
| publishDate | 2020-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-52e141152c094b0383a77d837c6ba4a32022-12-21T18:24:47ZengMDPI AGISPRS International Journal of Geo-Information2220-99642020-02-01929210.3390/ijgi9020092ijgi9020092Mapping Urban Spatial Structure Based on POI (Point of Interest) Data: A Case Study of the Central City of Lanzhou, ChinaChenyu Lu0Min Pang1Yang Zhang2Hengji Li3Chengpeng Lu4Xianglong Tang5Wei Cheng6College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, ChinaCollege of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, ChinaCollege of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, ChinaInformation Center for Global Change Studies, Lanzhou Information Center of Chinese Academy of Sciences, Lanzhou 730000, ChinaInstitute of County Economy Developments & Rural Revitalization Strategy, Lanzhou University, Lanzhou 730000, ChinaSchool of Architecture & Urban Planning, Lanzhou Jiaotong University, Lanzhou 730070, ChinaCollege of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, ChinaThe 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.https://www.mdpi.com/2220-9964/9/2/92spatial structurepoiurbankernel densitylanzhou |
| spellingShingle | Chenyu Lu Min Pang Yang Zhang Hengji Li Chengpeng Lu Xianglong Tang Wei Cheng Mapping Urban Spatial Structure Based on POI (Point of Interest) Data: A Case Study of the Central City of Lanzhou, China ISPRS International Journal of Geo-Information spatial structure poi urban kernel density lanzhou |
| title | Mapping Urban Spatial Structure Based on POI (Point of Interest) Data: A Case Study of the Central City of Lanzhou, China |
| title_full | Mapping Urban Spatial Structure Based on POI (Point of Interest) Data: A Case Study of the Central City of Lanzhou, China |
| title_fullStr | Mapping Urban Spatial Structure Based on POI (Point of Interest) Data: A Case Study of the Central City of Lanzhou, China |
| title_full_unstemmed | Mapping Urban Spatial Structure Based on POI (Point of Interest) Data: A Case Study of the Central City of Lanzhou, China |
| title_short | Mapping Urban Spatial Structure Based on POI (Point of Interest) Data: A Case Study of the Central City of Lanzhou, China |
| title_sort | mapping urban spatial structure based on poi point of interest data a case study of the central city of lanzhou china |
| topic | spatial structure poi urban kernel density lanzhou |
| url | https://www.mdpi.com/2220-9964/9/2/92 |
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