An integrated analysis framework for territorial space governance: Combining land use classification and functional evaluation toward spatial zoning

IF 7 1区 经济学 Q1 DEVELOPMENT STUDIES
Fangxin Chen , Yansui Liu
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引用次数: 0

Abstract

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-evaluation-zoning" 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.
国土空间治理的综合分析框架:结合土地利用分类与空间分区功能评价
综合国土空间分析框架对于推进空间治理至关重要,但目前的方法面临两个关键挑战:多源异构数据集成瓶颈和有限的传统分区范式。为了解决这些问题,本研究以河南省灵宝市为例,构建了一个系统的国土空间治理“分类-评价-分区”框架。该框架首先将建筑足迹与POI数据相结合,采用k维树算法实现精细尺度的土地利用分类。建立了土地利用功能的经济-社会-生态评价体系。最后,以混合网格为基本单元,结合核密度估算和土地利用结构对主体功能区进行圈定,并结合功能评价分析其多维特征。结果表明:生态保护下森林面积增加173.68 km2,新增建设用地的96.98%来自退耕还林。居住用地占城乡单体建筑的73.30%和95.44%。城乡混合土地利用类型分别增长2.12倍和2.93倍。经济和生态功能增强,社会结构调整,人口减少16571人(农村外迁69.39%),人均收入增长284%。此外,城市商业和服务业mfa从35.62%上升到64.42%,多样性-经济强度协同效应增强。农村MFAs保持以住宅为主(68.83%),向商业和服务业过渡,经济发展缓慢。该框架整合了细粒度土地利用信息、多维功能评价和网格化空间区划,有效支持国土空间的复杂治理。它为全球精细的领土空间管理提供了可复制的数字治理范式。
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来源期刊
CiteScore
10.50
自引率
10.30%
发文量
151
审稿时长
38 days
期刊介绍: Habitat International is dedicated to the study of urban and rural human settlements: their planning, design, production and management. Its main focus is on urbanisation in its broadest sense in the developing world. However, increasingly the interrelationships and linkages between cities and towns in the developing and developed worlds are becoming apparent and solutions to the problems that result are urgently required. The economic, social, technological and political systems of the world are intertwined and changes in one region almost always affect other regions.
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