Village Classification Method Based on POI Data and Gravity Model

被引：0
|
作者：
Chen W. [1 ]
Dai Y. [1 ]
Geng Y. [1 ]
Gao H. [1 ]
Ma Y. [1 ]
机构：
[1] College of Resources and Environment Sciences, Henan Agricultural University, Zhengzhou
来源：
Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery | 2020年 / 51卷 / 10期
关键词：
Classification; Gravity model; POI data; Village; Xinzheng City;
D O I：
10.6041/j.issn.1000-1298.2020.10.022
中图分类号：
学科分类号：
摘要：
Village classification is an important prerequisite for the implementation of the village revitalization plan. It is a scientific and rational allocation of public basic resources. It is of great theoretical and practical significance to carry out research on county village classification. A rural revitalization potential evaluation index system was built from five aspects: rural main body, location conditions, resource endowment, industrial foundation, and living network. The POI data and gravity model were used to analyze the spatial effect of the village. Finally, based on the evaluation results of rural revitalization potential and the spatial effects of villages, the villages were divided into four types of villages: urban-suburban integrated villages, agglomeration villages, scale-controlled villages, and relocated villages. The results showed that revitalization potential of rural in Xinzheng City was good, but the village development began to show a polarization. Xinzheng City had 28 urban-suburban integrated villages, 73 agglomeration villages, 78 relocated villages and 141 scale-controlled villages, each accounting for 8.75%, 22.81%, 24.38% and 44.06%, respectively. In general, the future rural revitalization and development of Xinzheng City should focus on the northwest and central southern regions, and it needed to implement policies by stages and proceed step by step. © 2020, Chinese Society of Agricultural Machinery. All right reserved.
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页码：195 / 204
页数：9
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