南京市住宅租金空间分异特征与影响因素分析  

Research on the spatial variation of housing rental and influence factors in Nanjing

作　　者：李卫民[1] 李同昇[1] 武鹏 LI Weimin;LI Tongsheng;WU Peng(College of Urban and Environmental Sciences, Northwest University, Xi＇an 710127, China)

机构地区：[1]西北大学城市与环境学院,西安710127

出　　处：《测绘科学》2018年第5期95-99,104,共6页Science of Surveying and Mapping

基　　金：教育部国家级特色专业建设项目(TS12489);教育部高等学校"专业综合改革试点"项目(人文地理与城乡规划)

摘　　要：针对当前城市住宅租金空间分异研究的不足,尤其是从宏观层面揭示城市租金空间结构影响因素研究的欠缺,通过网络爬虫法抓取南京市租房信息及相关数据,运用趋势面分析、空间插值分析、空间自相关分析等方法研究南京城市住宅租金的空间分异特征,并分析其空间分异的影响因素。结果表明:南京住宅租金具有显著空间自相关性,租金总体趋势呈现出由中心向外的圈层式递减特征,H-H集聚区域分布在中心城区,L-L集聚分布在地铁线末端等区域。人口分布及就业中心、城市规划引导、轨道交通及公共服务设施水平是影响南京住宅租金水平空间分异的主要因素。本研究可为城市住宅租金管理与住房开发决策提供参考。Aming at the shortage of the research on urban housing rental spatial variation,especially about its influence factors from macroscopic scale,This paper grabs the data of Nanjing housing rental from lianjia.com,using trend analysis,geostatistical interpolation method,spatial autocorrelation to explore the spatial distribution characteristic of the residence rental and its influence factors.The conclusions from the analysis include：the housing rental in Nanjing have significant spatial correlations,it gradually declines from the city center to the edge.The H-H cluster type of the housing rental mainly distributes in the central area and the L-L clusters type distribute in the terminal area of metro lines.Population density and employment center,urban planning,traffic and the level of public service facilities are the main influence factors.The research will provide certain reference for urban rental management and housing development.

关 键 词：租金 空间分异 影响因素 南京 

分 类 号：F293[经济管理—国民经济] TU984.1[建筑科学—城市规划与设计]