测绘通报 ›› 2026, Vol. 0 ›› Issue (7): 162-166.doi: 10.13474/j.cnki.11-2246.2026.0724

• 技术交流 • 上一篇    下一篇

多维特征指数识别模型驱动的长时序城乡交错带范围确定

王检萍1,2, 涂梨平3, 陈美球1,2, 聂欣然1,2, 洪土林4, 毛亚琴3   

  1. 1. 江西农业大学农村土地资源利用与保护研究中心, 江西 南昌 330045;
    2. 自然资源部大湖流域国土空间生态保护修复工程技术创新中心, 江西 南昌 330045;
    3. 江西省核工业地质调查院, 江西 南昌 330038;
    4. 江西省自然资源权益与储备保障中心, 江西 南昌 330025
  • 收稿日期:2025-11-03 发布日期:2026-08-15
  • 通讯作者: 陈美球。E-mail:Cmq12@263.net
  • 作者简介:王检萍(1992—),女,博士,主要研究方向为土地资源管理与利用。E-mail:jpwang@jxau.edu.cn
  • 基金资助:
    国家自然科学基金(42461041);2024年度南昌市社会科学规划项目(GL202405)

Determination of the range of long-term urban-rural fringe using multi-dimensional feature index recognition model

Wang Jianping1,2, Tu Liping3, Chen Meiqiu1,2, Nie Xinran1,2, Hong Tulin4, Mao Yaqin3   

  1. 1. Research Center on Rural Land Resources Use and Protection, Jiangxi Agricultural University, Nanchang 330045, China;
    2. Technology Innovation Center for Land Spatial Ecological Protection and Restoration in Great Lakes Basin, Ministry of Natural Resources, Nanchang 330045, China;
    3. Jiangxi Nuclear Industry Geology Survey Institute, Nanchang 330038, China;
    4. Jiangxi Provincial Natural Resources Rights and Reserves Protection Center, Nanchang 330025, China
  • Received:2025-11-03 Published:2026-08-15

摘要: [目的] 城乡交错带是城乡融合发展的核心纽带,也是人地系统矛盾的集中承载区,其范围的科学识别是精准开展用地管控的重要前提。[方法] 本文以南昌市为例,构建多维特征指数识别模型,耦合自然断点法与限制性因子法,实现对城乡交错带范围的定量识别。[结果] ①模型在城乡交错带长时序识别中表现出良好的可行性与高效性,识别结果与城乡交错带本质特征高度吻合;②2000—2024年南昌市城乡交错带呈“组团涌现-快速扩张-连片扩张-稳步扩张-结构优化”的演变模式,面积由11 805.22 hm2 增至54 704.37 hm2,面积变化速率呈“V”形波动;③演变特征与南昌市国土空间总体规划布局高度契合。[结论] 本文结果为城乡交错带长时序范围界定提供了新的思路与方法。

关键词: 城乡交错带, 多维特征指数识别模型, 空间识别, 城乡交错带特征, 南昌市

Abstract: [Purposes] The urban-rural fringe,serving as a transitional zone with hybrid urban-rural characteristics,represents both a crucial link for integrated development and a focal area for human-land system conflicts.Its accurate demarcation is essential for precise land use management. [Methods] Using Nanchang as a case study,this study develops a multidimensional characteristic index model integrating the natural breaks method and restrictive factor approach to quantitatively identify the urban-rural fringe. [Findings] ①The model exhibited strong feasibility and efficiency in long-term identification for large cities,with outcomes aligning closely with the fringe's intrinsic characteristics.②During 2000—2024,Nanchang's urban-rural fringe evolved through “cluster emergence-rapid expansion-contiguous expansion-steady expansion-structural optimization”,expanding from 11 805.22 hm2 to 54 704.37 hm2 with V-shaped fluctuation in expansion rate.③The evolution characteristics of the urban-rural fringe were highly consistent with the territorial and spatial master planning of Nanchang. [Conclusions] The research results can provide new ideas and methods for defining the long-term range of urban-rural fringe.

Key words: urban-rural fringe, multi-dimensional feature index recognition model, dynamic identification, characteristics of urban-rural fringe, Nanchang city

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