An integrated analysis framework for territorial space governance: Combining land use classification and functional evaluation toward spatial zoning
文献类型：期刊论文
| 作者 | Chen, Fangxin1,2; Liu, Yansui1,2,3 |
| 刊名 | HABITAT INTERNATIONAL
 |
| 出版日期 | 2025-12-01 |
| 卷号 | 166页码:103572 |
| 关键词 | Land use Human-earth system Territorial spatial planning Functional evaluation Spatial zoning Space governance |
| ISSN号 | 0197-3975 |
| DOI | 10.1016/j.habitatint.2025.103572 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | An integrated territorial space analysis framework is critical for advancing spatial governance, yet current approaches face two key challenges: multi-source heterogeneous data integration bottlenecks and limited conventional zoning paradigms. To address these gaps, this study develops a systematic classification-evaluationzoning framework for territorial space governance, exemplified by a case study in Lingbao City, Henan Province. The framework first integrates building footprints with POI data, employing K-Dimensional Tree algorithms to achieve fine-scale land use classification. An economic-social-ecological evaluation system was then developed to characterize land use function. Finally, adopting hybrid grids as basic units, the framework integrates kernel density estimation and land use structure to delineate main functional areas (MFAs) and analyze their multidimensional features combined with functional evaluation. The result show forest increased by 173.68 km2 under ecological protection, while 96.98 % of new built-up land originated from farmland conversion. Residential land constitutes 73.30 % and 95.44 % of urban and rural single buildings. Urban and rural mixed land use types increased 2.12-fold and 2.93-fold. Enhanced economic and ecological functions accompanied by social restructuring, which involved a population decline of 16,571 (69.39 % rural outmigration) and a 284 % POI growth. Furthermore, urban commercial and service MFAs surged from 35.62 % to 64.42 % with enhanced diversity-economic intensity synergy. Rural MFAs maintained residential predominance (68.83 %), transitioning towards commercial and service with low-speed economic expansion. This framework integrates fine-grained land use information, multi-dimensional functional evaluation, and grid-based spatial zoning, effectively supporting the complex governance of territorial space. It provides a replicable digital governance paradigm for refined territorial space management globally. |
| URL标识 | 查看原文 |
| WOS关键词 | COVER ; CHINA ; DYNAMICS ; IDENTIFICATION ; DATASET |
| WOS研究方向 | Development Studies ; Environmental Sciences & Ecology ; Public Administration ; Urban Studies |
| 语种 | 英语 |
| WOS记录号 | WOS:001572479500001 |
| 出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/216105]  |
| 专题 | 区域可持续发展分析与模拟院重点实验室_外文论文 |
| 通讯作者 | Liu, Yansui |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; 2.Minist Nat Resources, Rural Planning & Governance Engn Technol Innovat C, Beijing 100101, Peoples R China 3.Henan Univ, Fac Geog Sci & Engn, Zhengzhou 450046, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Chen, Fangxin,Liu, Yansui. An integrated analysis framework for territorial space governance: Combining land use classification and functional evaluation toward spatial zoning[J]. HABITAT INTERNATIONAL,2025,166:103572. |
| APA | Chen, Fangxin,&Liu, Yansui.(2025).An integrated analysis framework for territorial space governance: Combining land use classification and functional evaluation toward spatial zoning.HABITAT INTERNATIONAL,166,103572. |
| MLA | Chen, Fangxin,et al."An integrated analysis framework for territorial space governance: Combining land use classification and functional evaluation toward spatial zoning".HABITAT INTERNATIONAL 166(2025):103572. |
入库方式： OAI收割
来源：地理科学与资源研究所
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