南京市住宅价格时空分异格局及其影响因素分析——基于地理加权回归模型的实证研究.pdfVIP

人文地理 2018年第3期总第161期 文章编号:1003-2398(2018)03-0068-10 DOI:10.13959/j.issn. 1003-2398.2018.03.009 南京市住宅价格时空分异格局及其影响因素分析 ——基于地理加权回归模型的实证研究 1 2 1 1 1,3 尹上岗 ，宋伟轩 ，马志飞 ，李在军 ，吴启焰 （1.南京师范大学地理科学学院，南京210023 ；2. 中国科学院南京地理与湖泊研究所， 南京210008 ；3.西安交通大学公共政策与管理学院，西安710049 ） SPATIALSPATIAL DIFFERENTIATIONDIFFERENTIATION ANDAND INFLUENCINGINFLUENCING FACTORSFACTORS ANALYSISANALYSIS OFOF HOUSINGHOUSING PRICESPRICES ININ NANJINGNANJING ：：BASEDBASED ONON GEOGRAPHICALLYGEOGRAPHICALLY WEIGHTEDWEIGHTED REGRESSIONREGRESSION MODELMODEL 1 2 1 1 1,3 YIN Shang-gang , SONG Wei-xuan , MA Zhi-fei , LI Zai-jun , WU Qi-yan (1.SchoolofGeographicalSciences,Nanjing NormalUniversity,Nanjing 210023,China; 2.Nanjing InstituteofGeography andLimnology,CAS,Nanjing 210008,China; 3.SchoolofPublicPolicy andAdministration,XianJiaotong University,Xian710049,China) Abstract:Abstract: Based on 2009-2017 in Nanjing city one main city and three subsidiary cities commercial hous- ing community as the research unit, using ordinary Kriging interpolation statistical analysis GIS in the simu- lation and estimation of the one main city and three subsidiary cities housing price spatial distribution, and the use of geographically weighted regression (GWR) model to explore the impact of community property, commercial location, traffic location, service location and landscape location to the housing price. The re- sults of the study show that: 1)The housing price of Nanjing city generally shows the