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供需视角下都市区近郊农村居民点整治潜力测算与发展路径

Potential assessment and development pathways of rural settlement consolidation in suburban metropolitan areas from a supply-demand perspective

  • 摘要: 科学测算农村居民点整治潜力,探索农村居民点差异化整治路径是实施全域土地综合整治、盘活乡村存量资源、促进乡村全面振兴的重要抓手。以南京都市区近郊句容市为实证区域,基于供需理论构建“供需测算—类型识别”分析框架,利用单类支持向量机算法和综合分析法测算句容市农村居民点供需潜力,结合乡村主导功能需求探究村域尺度下土地资源的精准配置路径。研究表明:1)各行政村整治意愿在0.33~0.76之间,经修正句容市农村居民点整治潜力为5441.91hm2,占现状农村居民点用地的39.42%,乡村振兴发展需求指数在0.20~0.60之间,呈现“西高东低,组团分布”的格局;2)句容市农村居民点共识别出4种主导功能需求,以均衡发展型村庄为主;3)将潜力分区与主导功能需求耦合,形成12类村域尺度下整治类型,并按照治理逻辑归纳为“空间重构”“精准引导”等潜力释放路径,进而提出“村庄重组释放潜力”“创新动态留白供地”等针对性的村庄整治手段。研究成果为都市区近郊空间单元土地资源精准供给与乡村振兴需求高效匹配提供了示范参考。

     

    Abstract: As suburban rural areas of metropolitan regions serve as the interface between urban and rural elements, their rural settlements face prominent contradictions such as idle and inefficient land use, scattered spatial layouts, and supply–demand mismatches in functions. Against the strategic background of comprehensive rural revitalization and the in-depth implementation of territory-wide land consolidation, rural settlement consolidation increasingly emphasizes the precise alignment between land supply and development demand, so as to achieve an accurate release of consolidation potential. Therefore, scientifically assessing the consolidation potential of rural settlements and exploring differentiated consolidation pathways are crucial for implementing territory-wide land consolidation, revitalizing rural stock resources, and promoting comprehensive rural revitalization. Taking Jurong City, a suburban area of the Nanjing metropolitan region, as an empirical case, this study constructs an analytical framework of “supply–demand assessment–type identification” based on supply–demand theory. It uses the one-class support vector machine algorithm and comprehensive analysis methods to assess the supply–demand consolidation potential of rural settlements in Jurong. Furthermore, it explores precise land resource allocation pathways at the village scale in combination with rural dominant function demands. The results show:1) The theoretical consolidation potential of rural settlements is approximately 8490.19 hm2, accounting for 61.51% of the current settlement area. The willingness simulation model is validated with an accuracy of 87.81% and a recall rate of 95.48%, indicating high precision. The modeled willingness values for administrative villages range from 0.33 to 0.76. Villages with higher consolidation willingness are mainly distributed in the southeastern region, including the Maoshan Scenic Area, Maoshan Town, Houbai Town, and Tianwang Town. After correction, the actual consolidation potential of rural settlements in Jurong is 5441.91 hm2, representing 39.42% of the current rural settlement land.2) The demand potential of rural revitalization ranges from 0.20 to 0.60, exhibiting a pattern of “higher in the west, lower in the east, with clustered distribution.” Among all villages, the number of medium-demand villages is the largest, totaling 100 (53% of all villages).3) Based on a supply–demand balance analysis, four types of supply–demand potential zones are identified: priority consolidation zone, reserve regulation zone, demand-oriented zone, and stable control zone, accounting for 43, 35, 73, and 37 villages, respectively.4) Four types of dominant functional demands are identified among the rural settlements in Jurong, with the majority being balanced development villages. Most villages show no clear dominant functional demand, exhibiting a balanced feature with relatively scattered spatial distribution. By coupling potential zones with dominant functional demands, 12 consolidation types at the village scale are derived. Following governance logic, these are summarized into potential release pathways such as “spatial reconstruction,” “precise guidance,” “flexible regulation,” and “micro-renewal,” enabling “one village, one strategy” precise intervention. Corresponding targeted consolidation measures are proposed, such as “releasing potential through village reorganization” and “innovating dynamic land reservation supply.” Differentiated strategies are implemented to promote intensive and economical land use, enhance rural functions, and optimize spatial patterns.The findings provide a demonstration and reference for precisely matching land supply with rural revitalization demands in metropolitan suburban spatial units.

     

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