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干旱区地理 ›› 2025, Vol. 48 ›› Issue (6): 1055-1066.doi: 10.12118/j.issn.1000-6060.2024.654 cstr: 32274.14.ALG2024654

• 国土资源与旅游地理 • 上一篇    下一篇

黄河流域国土空间效率时空变化及障碍因子分析

魏建飞1(), 袁悠燃1, 李强2(), 董佩佩1, 刘玖榕1   

  1. 1.河南师范大学旅游学院,河南 新乡 453007
    2.首都经济贸易大学城市经济与公共管理学院,北京 100070
  • 收稿日期:2024-10-25 修回日期:2025-02-14 出版日期:2025-06-25 发布日期:2025-06-18
  • 通讯作者: 李强(1977-),男,博士,教授,博士生导师,主要从事土地科学与规划实施管理等方面的研究. E-mail: eq1977@163.com
  • 作者简介:魏建飞(1995-),女,博士,讲师,硕士生导师,主要从事国土空间规划与实施管理等方面的研究. E-mail: weijianfei0604@163.com
  • 基金资助:
    河南省哲学社会科学规划年度项目(2024CJJ022)

Spatio-temporal variation and obstacle factors of territorial spatial efficiency in the Yellow River Basin

WEI Jianfei1(), YUAN Youran1, LI Qiang2(), DONG Peipei1, LIU Jiurong1   

  1. 1. School of Tourism, Henan Normal University, Xinxiang 453007, Henan, China
    2. School of Urban Economics and Public Administration, Capital University of Economics and Business, Beijing 100070, China
  • Received:2024-10-25 Revised:2025-02-14 Published:2025-06-25 Online:2025-06-18

摘要: 审视识别重点流域国土空间效率的演进态势及障碍性因素,可为构建优势互补、高质量发展的国土空间格局提供关键依据。以黄河流域97个城市作为案例研究区,运用空间分类法、核密度估计、障碍度模型揭示该地区国土空间效率的时空演化规律和障碍因子。结果表明:(1) 从时序演进规律看,2010—2022年黄河流域国土空间效率波动上升,不同空间区域差异呈现生态空间>城镇空间>农业空间的发展趋势。(2) 从空间分异格局看,国土空间效率空间异质性显著,不同空间效率的集聚模式具有明显区域差异。(3) 从空间集聚特征看,国土空间效率演化具有时空惯性及延续性特征,高-高集聚和低-低集聚为主要集聚模式。(4) 从障碍因子分析结果看,生态空间效率对国土空间效率提升的障碍程度最高,非农产值、农业灌溉面积、生态系统服务价值分别是城镇、农业、生态空间效率提升的主要障碍因子。研究成果为深化重点流域国土空间效率研究的理论认知提供了新视角,为优化黄河流域国土空间布局及提升空间治理水平提供了科学支撑。

关键词: 国土空间效率, 时空变化, 障碍分析, 黄河流域

Abstract:

Territorial spatial efficiency analysis in major river basins provides critical insights for developing regionally optimized land use patterns that promote sustainable development. This study investigated the Yellow River Basin’s territorial spatial efficiency by examining 97 cities over 13 years (2010—2022). We employed a methodological framework combining spatial classification techniques, kernel density estimation, and obstacle degree modeling to systematically assess spatiotemporal patterns and limiting factors. The temporal analysis revealed fluctuating efficiency trends throughout the study period, with a consistent hierarchy of performance across spatial categories (ecological space>urban space>agricultural space). Spatially, significant heterogeneity was observed in efficiency distribution, with distinct regional agglomeration patterns. These spatial configurations demonstrated strong temporal inertia and continuity, characterized primarily by “high-high” and “low-low” agglomeration patterns. Our obstacle factor analysis identified ecological spatial efficiency as the primary constraint as the primary constraint to overall territorial spatial improvement in the basin. Further investigation revealed specific limiting factors for each spatial category: Non-agricultural output value (urban spaces), agricultural irrigation area (agricultural spaces), and ecosystem service value (ecological spaces). These findings highlight the need for targeted interventions addressing these specific limitations. The research contributes to the theoretical understanding of territorial spatial efficiency dynamics in major river basins while providing scientific support for optimizing the territorial spatial layout and improving the level of spatial governance in the Yellow River Basin.

Key words: territorial spatial efficiency, spatio-temporal variation, obstacle analysis, the Yellow River Basin