李卫民,李同昇,武鹏

• 1:西北大学城市与环境学院

摘要(Abstract)：

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。

关键词(KeyWords)： 租金;空间分异;影响因素;南京

Abstract:

Keywords:

基金项目(Foundation): 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)

作者(Author): 李卫民,李同昇,武鹏

DOI: 10.16251/j.cnki.1009-2307.2018.05.016

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