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基于POI數(shù)據(jù)和引力模型的村莊分類方法研究
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國家自然科學(xué)基金青年基金項目(41901259)


Village Classification Method Based on POI Data and Gravity Model
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    摘要:

    村莊分類是實施鄉(xiāng)村振興規(guī)劃的重要前提,是科學(xué)合理分配公共資源的基礎(chǔ)。本文以新鄭市為例,從鄉(xiāng)村主體、區(qū)位條件、資源稟賦、產(chǎn)業(yè)基礎(chǔ)、生活網(wǎng)絡(luò)5方面構(gòu)建鄉(xiāng)村振興潛力評價指標體系,并借助POI數(shù)據(jù)和引力模型分析村莊與周圍地理實體間的空間相互作用,最后基于鄉(xiāng)村振興潛力評價成果和村莊所受空間作用效應(yīng),將村莊劃分為城郊融合類、集聚提升類、規(guī)??刂祁悺徇w撤并類4類。研究表明:新鄭市鄉(xiāng)村振興潛力整體較好,但村莊發(fā)展已初顯兩極化態(tài)勢;新鄭市擁有28個城郊融合類村莊、73個集聚提升類村莊、78個搬遷撤并類村莊和141個規(guī)??刂祁惔迩f,占比分別為8.75%、22.81%、24.38%、44.06%;總的來說,新鄭市未來鄉(xiāng)村振興發(fā)展工作應(yīng)著重關(guān)注西北部和中南部地區(qū),需注重分類施策、分步推進。

    Abstract:

    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.

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陳偉強,代亞強,耿藝偉,高涵,馬月紅.基于POI數(shù)據(jù)和引力模型的村莊分類方法研究[J].農(nóng)業(yè)機械學(xué)報,2020,51(10):195-204. CHEN Weiqiang, DAI Yaqiang, GENG Yiwei, GAO Han, MA Yuehong. Village Classification Method Based on POI Data and Gravity Model[J]. Transactions of the Chinese Society for Agricultural Machinery,2020,51(10):195-204.

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  • 收稿日期:2020-02-11
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  • 在線發(fā)布日期: 2020-10-10
  • 出版日期: 2020-10-10