From 2D to 3D Urban Analysis: An Adaptive Urban Zoning Framework That Takes Building Height into Account
The vertical heterogeneous structures formed during the evolution of urban agglomerations, driven by globalization, pose challenges to traditional two-dimensional spatial analysis methods. This study addresses the vertical heterogeneity and spatial multiscale problem in three-dimensional urban space...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-04-01
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| Series: | Buildings |
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| Online Access: | https://www.mdpi.com/2075-5309/15/7/1182 |
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| _version_ | 1849730798052179968 |
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| author | Tao Shen Fulu Kong Shuai Yuan Xueying Wang Di Sun Zongshuo Ren |
| author_facet | Tao Shen Fulu Kong Shuai Yuan Xueying Wang Di Sun Zongshuo Ren |
| author_sort | Tao Shen |
| collection | DOAJ |
| description | The vertical heterogeneous structures formed during the evolution of urban agglomerations, driven by globalization, pose challenges to traditional two-dimensional spatial analysis methods. This study addresses the vertical heterogeneity and spatial multiscale problem in three-dimensional urban space and proposes an adaptive framework that takes into account building height for multiscale clustering in urban areas. Firstly, we established a macro-, meso- and micro-level analysis system for the characteristics of urban spatial structures. Subsequently, we developed a parameter-adaptive model through a dynamic coupling mechanism of height thresholds and average elevations. Finally, we proposed a density-based clustering method that integrates the multiscale urban analysis with parameter adaptation to distinguish urban spatial features at different scales, thereby achieving multiscale urban regional delineation. The experimental results demonstrate that the proposed clustering framework outperforms traditional density-based and hierarchical clustering algorithms in terms of both the Silhouette Coefficient and the Davies–Bouldin Index, effectively resolving the problem of vertical density variation in urban clustering. |
| format | Article |
| id | doaj-art-94660fd3da014c20a55e48c132bcddc9 |
| institution | DOAJ |
| issn | 2075-5309 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Buildings |
| spelling | doaj-art-94660fd3da014c20a55e48c132bcddc92025-08-20T03:08:45ZengMDPI AGBuildings2075-53092025-04-01157118210.3390/buildings15071182From 2D to 3D Urban Analysis: An Adaptive Urban Zoning Framework That Takes Building Height into AccountTao Shen0Fulu Kong1Shuai Yuan2Xueying Wang3Di Sun4Zongshuo Ren5School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 100044, ChinaSchool of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 100044, ChinaSchool of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 100044, ChinaInstitute of Computing Technology, China Academy of Railway Sciences, Beijing 100081, ChinaSchool of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 100044, ChinaSchool of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 100044, ChinaThe vertical heterogeneous structures formed during the evolution of urban agglomerations, driven by globalization, pose challenges to traditional two-dimensional spatial analysis methods. This study addresses the vertical heterogeneity and spatial multiscale problem in three-dimensional urban space and proposes an adaptive framework that takes into account building height for multiscale clustering in urban areas. Firstly, we established a macro-, meso- and micro-level analysis system for the characteristics of urban spatial structures. Subsequently, we developed a parameter-adaptive model through a dynamic coupling mechanism of height thresholds and average elevations. Finally, we proposed a density-based clustering method that integrates the multiscale urban analysis with parameter adaptation to distinguish urban spatial features at different scales, thereby achieving multiscale urban regional delineation. The experimental results demonstrate that the proposed clustering framework outperforms traditional density-based and hierarchical clustering algorithms in terms of both the Silhouette Coefficient and the Davies–Bouldin Index, effectively resolving the problem of vertical density variation in urban clustering.https://www.mdpi.com/2075-5309/15/7/1182data-driven urban analysismultiscale spatial clusteringurban 3D modelsDBSCAN algorithmurban spatial structure |
| spellingShingle | Tao Shen Fulu Kong Shuai Yuan Xueying Wang Di Sun Zongshuo Ren From 2D to 3D Urban Analysis: An Adaptive Urban Zoning Framework That Takes Building Height into Account Buildings data-driven urban analysis multiscale spatial clustering urban 3D models DBSCAN algorithm urban spatial structure |
| title | From 2D to 3D Urban Analysis: An Adaptive Urban Zoning Framework That Takes Building Height into Account |
| title_full | From 2D to 3D Urban Analysis: An Adaptive Urban Zoning Framework That Takes Building Height into Account |
| title_fullStr | From 2D to 3D Urban Analysis: An Adaptive Urban Zoning Framework That Takes Building Height into Account |
| title_full_unstemmed | From 2D to 3D Urban Analysis: An Adaptive Urban Zoning Framework That Takes Building Height into Account |
| title_short | From 2D to 3D Urban Analysis: An Adaptive Urban Zoning Framework That Takes Building Height into Account |
| title_sort | from 2d to 3d urban analysis an adaptive urban zoning framework that takes building height into account |
| topic | data-driven urban analysis multiscale spatial clustering urban 3D models DBSCAN algorithm urban spatial structure |
| url | https://www.mdpi.com/2075-5309/15/7/1182 |
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