社交网络视角的南京市房价时空特征分析  

Spatial-temporal analysis of house price in Nanjing based on social network data

作　　者：毕硕本 许志慧[2] 黄铜 刘爱利 徐瑞壮 BI Shuoben;XU Zhihui;HUANG Tong;LIU Aili;XU Ruizhuang(School of Geographical Sciences,Nanjing University of Information Science and Technology,Nanjing 210044,China;Institute of History of Science and Technology,Nanjing University of Information Science and Technology,Nanjing 210044,China)

机构地区：[1]南京信息工程大学地理科学学院,南京210044 [2]南京信息工程大学科学技术史研究院,南京210044

出　　处：《测绘科学》2021年第5期153-161,共9页Science of Surveying and Mapping

基　　金：国家自然科学基金项目(41971340,41271410)。

摘　　要：针对住房价格随时间的演化,该文利用社交网络数据——新浪微博兴趣点数据,并结合住房价格数据,基于核密度分析、热点分析、GWR(地理加权回归)等方法分析了南京市房价的时空变化特征及其影响因素。结果表明:南京市住房价格自2007年迄今为止主要呈上涨趋势,但各区涨幅不同。核密度分析结果表明,POI签到数据密度高的区域也是高房价聚集的区域,并且具有较高的活动频率,说明POI签到数据的集聚程度与住房价格关系密切。热点分析结果表明,POI签到数据所显示的热点区域同时也是住房价格高的区域,说明POI热点分布与房价存在较大相关性。整合了大型社交网络与住房价格数据,揭示了南京市房价时空变化规律,可为房价调控政策的制定提供理论依据。Aiming at the evolution of housing prices over time,this paper uses social network data-Sina Weibo POI(point of interest)data,combined with Nanjing housing price data.Kernel density analysis,hot spot analysis,GWR(geographically weighted regression analysis)and other methods are used to explore the changing characteristics of Nanjing house prices and the factors that affect house prices.The results show that housing prices in Nanjing have been on the rise since 2007,but the growth rate of each district is not the same.The results of kernel density analysis shows that the area with high density of POI check-in data is also the area with high housing prices and high frequency of activity,indicating that there is a great correlation between the degree of concentration of POI check-in data and housing prices.The results of spatial hot spot analysis shows that the hot area shown by POI check-in data is also the area with high housing prices,so the distribution of POI hot spots is also related to house prices.The paper integrates large-scale network data and housing price data,and reveals the spatial and temporal changes of house prices in Nanjing.The result of the paper can provide a theoretical basis for the formulation of housing price control policies.

关 键 词：住房价格 社交网络 时空变化 南京市 

分 类 号：P208[天文地球—地图制图学与地理信息工程]