Analysis on Temporal and Spatial Evolution Characteristics and Influencing Factors of Public Service Facilities in Villages and Towns of Suining County Based on POI
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摘要: 大数据 POI 用于分析村镇公共服务设施的时空演变特征，识别其影响因素及作用规律，推动公共服务设施建设、助力乡村振兴。本文以江苏省徐州市睢宁县为例，运用多种空间分析方法挖掘时空演变特征，采用网格划分法可视化时空演变特点，发现村镇之间差异较大，且五类设施空间分布不同；运用多样性指数法获得设施内增外拓的综合特征；通过缓冲区分析，发现各类设施均有集聚与分散的圈层分布特点。进而结合统计数据，揭示经济、产业、人口和政策的影响作用，发现经济推动公共服务设施快速发展、特别是第三产业显著促进商业金融设施的发展，而第一和第二产业对公共服务设施作用较弱，人口从需求端促进了教育机构和医疗保健设施的发展，村镇一体的政策加强了公共服务集中供给的趋势。Abstract: Big data POI is used to analyze the temporal and spatial evolution characteristics of public service facilities in villages and towns, identify their influencing factors and action laws, promote the construction of public service facilities and help rural revitalization. Taking Suining County of Xuzhou City, Jiangsu Province as an example, this paper uses a variety of spatial analysis methods to mine the characteristics of temporal and spatial evolution, and uses the grid division method to visualize the characteristics of temporal and spatial evolution. It is found that there are great differences between villages and towns, and the spatial distribution of five types of facilities is different. The diversity index method is used to obtain the comprehensive characteristics of internal expansion and external expansion of facilities. Through the buffer zone analysis, it is found that all kinds of facilities have the characteristics of agglomeration and dispersion. Then, combined with the statistical data, it reveals the impact of economy, industry, population and policy. It is found that the economy promotes the rapid development of public service facilities, especially the tertiary industry significantly promotes the development of commercial and financial facilities, while the primary and secondary industries play a weak role in public service facilities. The population promotes the development of educational institutions and medical and health care facilities from the demand side, and the policy of integrating villages and towns strengthens the trend of centralized supply of public services.
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