大数据视角下城市活动的空间特征及其影响因素——以北京市城六区为例被引量：7

Space features and influencing factors for urban activities based on big data perspective:a case study of Beijing Six Districts

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摘要从大数据的视角出发,利用大规模的空间使用者活动轨迹,解析了城市活动的空间特征。以北京市城六区为案例地,将城市活动空间划分为六大类型。在此基础上,采集网络签到和城市经济服务业兴趣点数据,利用地理信息技术空间分析和核密度分析等方法归纳了城市活动空间的类型特征、分布规律及区县空间分异、"一轴多中心"的结构特征,并剖析了产业经济因素及规划管控因素对城市活动空间的影响。 Based on big data about large-scale patterns of human activities,this essay attempts to analyze the characteristics of urban activity.In a case study conducted in six districts of Beijing,this essay divides a six types of urban activity space.Massive information is collected about online check-ins and urban economic services POI data.Using GIS and KED（Kernel density estimation）,it summarizes six types of urban activity space and a structural characteristic as ＂ One axis Multi-cores＂ features and the influencing factors,such as industry economic and planning governed have also been studied.

作者薛涛戴林琳

机构地区北京纳墨文旅景观规划设计有限公司北京大学城市与环境学院

出处《城市问题》 CSSCI 北大核心 2016年第4期25-30,38,共7页 Urban Problems

基金北京市自然科学基金项目(8132030)

关键词大数据城市活动空间空间特征影响因素北京 big data urban active space space characteristics influencing factors Beijing

分类号 TU984.11 [建筑科学—城市规划与设计]

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