基于多源数据的社区生活圈测度方法、影响机制与规划策略研究

课题以成都为例，通过手机LBS、高德POI和社区经济社会发展等多源数据的挖掘与利用，借助“复杂网络算法（infomap）”、“空间自相关”、“主成分分析、聚类分析”等方法，对城乡社区生活圈展开理论和实证研究。内容包括：一、社区生活圈的测度与特征识别；二、验证影响社区生活圈规模的空间要素及其作用机制；三、根据不同类型社区生活圈的特征与需求，建立以“精准、公平”为导向的社区公服设施配置和评价方法；四、探索与社区治理相衔接的社区生活圈规划协同平台。最终，课题在理论（从复杂网络的角度重新定义社区生活圈）、方法（基于手机LBS动态数据的生活圈测度和特征识别方法）、实践（为社区生活圈的公服配套和社区治理提供科学支撑）三个方面推动社区生活圈规划的科学性和可实施性。

Taking Chengdu as an example, through the mining and utilization of multi-source data such as mobile phone LBS, AutoNavi POI and community soci0-economic development data, the subject has carried out theoretical and empirical research on urban and rural community life circle with the help of infomap, spatial autocorrelation, principal component analysis, cluster analysis and other methods. The contents include: 1 Measurement and feature identification of community life circle; 2 verify the spatial factors that affect the scale of community life circle and their mechanism of action; 3 establish a "precise and fair" oriented community facilities allocation and evaluation method; 4 explore the coordination platform of community life circle planning linked with community governance. Finally, the research will have three outcomes: redefining community life circle from the perspective of complex network, life circle measurement and feature identification method based on mobile phone dynamic data, and providing scientific support for public service matching and community governance of community life circle.