基于灰色聚类和耕作半径的自然村村庄分类研究——以商丘市宋集镇为例

Research on Classification of Natural Villages Based on Grey Clustering and Farming Radius:Taking Songji Town, Shangqiu City as an Example

  • 摘要: 村庄分类是指导村庄规划布局与制定改造提升方案的基础性工作。文章以河南省商丘市睢阳区宋集镇为例,利用灰色定权聚类方法,结合当地农民耕作半径,分别对该镇的自然村和行政村进行了分类研究。结果如下:(1)构建了涵盖资源禀赋、发展水平、区位条件等内容的村庄分类指标体系,建立了相应的村庄分类灰色定权白化权函数;(2)通过调查,发现当地农业机械化生产的出行方式主要为电动摩托车和拖拉机,可接受最大出行时间为15~20分钟,由此确定当地村民的耕作半径为5000~6666m;(3)基于灰色聚类和避免耕地撂荒的要求,将研究区域内92个自然村庄划分为1个特色保护类村庄、3个城郊融合类村庄、29个集聚提升类村庄、38个整治改善类村庄和21个搬迁撤并类村庄;(4)对比发现,基于自然村的分类结果比基于行政村的分类结果更贴合村庄的实际情况,分类结果更精细、准确。

     

    Abstract: Village classification is the basic work that guides the planning and layout of villages and the formulation of renovation and upgrading plans. Taking Songji Town in Suiyang District, Shangqiu City, Henan Province as an example, using the grey fixed-weight clustering method, combined with the farming radius of local farmers, the natural villages and administrative villages of the town were classified and studied. The results are as follows:(1) A village classification index system was constructed covering resource endowments, development level, location conditions, etc., and the corresponding gray fixed-weight whitening weight function for village classification was established. (2) Through investigation, the main methods of local agricultural mechanized production travel are electric motorcycles and tractors, and the maximum acceptable travel time is 15~20 minutes. From this, it is determined that the farming radius of the local villagers is 5000~6666m. (3) Based on the gray clustering and the requirements of avoiding the abandonment of cultivated land, the study area the 92 natural villages in the area are divided into 1 characteristic protection village, 3 suburban integration villages, 29 agglomeration and promotion villages, 38 renovation and improvement villages, and 21 relocation and relocation villages. (4) The comparison found, the classification results based on natural villages are more in line with the actual situation of the villages than the classification results based on administrative villages, and the classification results are more refined and accurate.

     

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