中国城镇化研究

我国的快速城镇化进程催生了大量人口的城乡迁移，使大城市边缘区村镇衍生出多元化的人口日常流动格局，也给这一区域公共服务设施的人本化配置带来了挑战。基于大城市边缘区人口日常流动规律，推动村镇公共服务设施协同配置，实现城乡资源要素合理化流动和村镇公共服务人本化发展，是促进新时代城乡融合和乡村振兴的必由之路。本文以苏州市甪直镇为典型案例，结合百度慧眼人口动态数据以及公共服务设施的POI点位数据，剖析其人口日常分布的时空动态特征，并通过与村镇现有公共服务设施进行空间匹配测度，分析人口的日常流动所产生的现实需求与公共服务设施静态配置之间的矛盾，进而从政策治理协同、区域发展协同、服务供给协同等方面提出村镇公共服务设施配置的优化策略与实施路径，为大城市边缘区实现高质量的城乡融合发展和乡村振兴提供科学依据。

China's rapid urbanization process has resulted in a large number of urban-rural population migrations, and the villages and towns in the urban fringe areas have developed a diversified pattern of daily mobility of the population, which also poses challenges to the humanized allocation of public service facilities in these areas. Based on the daily mobility patterns of the population in the urban fringe areas, promoting the cooperative allocation of public service facilities in villages and towns, realizing the rationalized flow of urban and rural resources and elements, and the humanized development of public services in villages and towns is the way to promote the integration of urban and rural areas and the revitalization of the countryside in the new era. Taking Luzhi Town of Suzhou City as a typical case, combined with Baidu Huiyan population dynamics data and POI point data of public service facilities, this paper analyzed the spatiotemporal dynamic characteristics of its daily population distribution, and analyzed the development dilemmas between the realistic demand generated by the daily movement of the population and the static allocation of public service facilities through the spatial matching measurement with the existing public service facilities in villages and towns. It then proposed optimization strategies and implementation paths for the allocation of public service facilities in villages and towns in terms of policy governance synergy, regional development synergy and service supply synergy, so as to provide a scientific basis for the realization of a higher level of urban-rural integration and rural revitalization in the metropolitan fringe areas.