自然资源学报 ›› 2019, Vol. 34 ›› Issue (12): 2673-2686.doi: 10.31497/zrzyxb.20191215

• 资源评价 • 上一篇    下一篇

农村居民点多维形态空间格局与耦合类型

曲衍波1(), 魏淑文1, 刘敏1, 展凌云1, 李雅楠2()   

  1. 1. 山东财经大学公共管理学院,济南 250014
    2. 武汉工程大学管理学院,武汉 430205
  • 收稿日期:2019-07-25 修回日期:2019-10-08 出版日期:2019-12-28 发布日期:2019-12-28
  • 作者简介:

    作者简介:曲衍波(1982- ),男,山东龙口人,博士,副教授,博士生导师,主要从事土地利用转型与乡村发展研究。E-mail: yanboqu2009@126.com

  • 基金资助:
    国家自然科学基金项目(41771560,41671519)

Spatial pattern and coupling types of multidimensional morphology of rural residential land

QU Yan-bo1(), WEI Shu-wen1, LIU Min1, ZHAN Ling-yun1, LI Ya-nan2()   

  1. 1. School of Public Management, Shandong University of Finance and Economic, Jinan 250014, China
    2. School of Management,Wuhan Institute of Technology, Wuhan 430205, China
  • Received:2019-07-25 Revised:2019-10-08 Online:2019-12-28 Published:2019-12-28

摘要:

农村居民点空间形态的系统认识与分类研究是乡村整治和科学实施乡村振兴的重要基础。以北京市平谷区为研究区域,从规模、结构和功能三个维度构建农村居民点形态识别指标,使用多因素综合评价法得到275个行政村的规模强度、结构合理度和功能协调度,借助ArcGIS和GeoDa依次对三者进行空间关联分析,进而基于三维特征划分出8种农村居民点耦合类型。结果表明:(1)平谷区农村居民点规模强度、结构合理度和功能协调度在空间上均存在空间集聚的正相关性,空间分布分别呈现“递进式”“圈层式”和“镶嵌式”格局。(2)平谷区农村居民点多维形态的地域差异性显著,全区62.8%的村庄表现为低强度,51.3%的村庄表现为结构不合理,61.4%的村庄表现为功能不协调。(3)平谷区以T1-S1-F2型(高强度—合理—不协调型)和T1-S2-F2型(高强度—不合理—不协调型)的农村居民点为主,两者共占农村居民点总量的60.1%,前者主要分布在距离城区较近的乡镇,后者主要分布在距离城区较远的北部、西南部和东部的山地丘陵区。(4)规模强度高、结构不合理、功能不协调的农村居民点类型是平谷区乡村协同发展的主要障碍,政策制度、技术工程、产业扶持等差别化治理模式是推进农村居民点可持续性利用和乡村振兴的关键。

关键词: 农村居民点, 形态, 类型识别, 多维, 北京市平谷区

Abstract:

Systematic understanding and classification of the spatial form of rural settlements is an important basis for rural renovation and scientific implementation of the strategy of Rural Revitalization at the present stage. In this paper, Pinggu district of Beijing is taken as the research area. According to the idea that rural residential areas are regarded as map patches, land use patterns and carriers, the identification indicators of rural residential types are constructed from three dimensions of intensity, structure and function. The intensity suitability, structure rationality and function coordination of each research unit are obtained by using multi-factor comprehensive evaluation method. With the help of ArcGIS and GeoDa, the intensity suitability, structure rationality and function coordination degree of each research unit are obtained. A spatial correlation analysis of the three is carried out, and eight coupling types of rural settlements are classified based on three-dimensional characteristics. It is concluded that: (1) There is a positive spatial correlation among intensity suitability, structural rationality and functional coordination in Pinggu district, i.e. there is a spatial agglomeration characteristic, and the spatial distribution of hotspot analysis of suitability, rationality and coordination degree presents progressive, circle and mosaic patterns respectively. (2) There are significant differences in spatial and regional characteristics in Pinggu district, Beijing, with 62.8% of the villages not suitable for intensity, 51.3% of the villages are unreasonable in structure and 61.4% of the villages are inconsistent in function. (3) The main types of rural settlements in the whole district are unsuitable-reasonable-uncoordinated and unsuitable-unreasonable-uncoordinated, which account for 53.6% of the total rural settlements. Unsuitable-reasonable-uncoordinated rural settlements are mainly distributed in townships close to urban areas and unsuitable-unreasonable-uncoordinated rural settlements are mainly located in the northern, southwestern and eastern hilly areas far from the urban area.

Key words: rural residential land, morphology, type recognition, multidimensional, Pinggu district in Beijing