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梯度推移理论和GIS在北京城区住宅地价时空推移规律中的应用
引用本文:李玲,朱道林,胡克林.梯度推移理论和GIS在北京城区住宅地价时空推移规律中的应用[J].武汉大学学报(信息科学版),2012,37(4):482-486.
作者姓名:李玲  朱道林  胡克林
作者单位:1. 中国农业大学资源与环境学院,北京市海淀区圆明园西路2号,100193/北京城市学院公共管理学院,北京市海淀区北四环中路269号,100083
2. 中国农业大学资源与环境学院,北京市海淀区圆明园西路2号,100193
基金项目:国家自然科学基金资助项目
摘    要:将GIS技术与区域经济学中的梯度推移理论相结合,研究了北京城区住宅地价的时空推移规律。结果表明,北京市住宅地价具有很强的空间相关性,区域因素对地价的影响较大。该梯度推移趋势主要与土地供应、轨道交通的建设、奥运会的影响及城区功能的转变等因素相关。

关 键 词:住宅地价  时空变化  GIS技术  梯度推移

Application of GIS and Gradient Shift Theory of Residence Remise Land Price in Beijing
LI Ling,ZHU Daolin,HU Kelin.Application of GIS and Gradient Shift Theory of Residence Remise Land Price in Beijing[J].Geomatics and Information Science of Wuhan University,2012,37(4):482-486.
Authors:LI Ling  ZHU Daolin  HU Kelin
Institution:1(1 College of Resources and Environmental Sciences,China Agricultural University, 2 West Yuanmingyuan Road,Beijing 100193,China)(2 College of Public Management,Beijing City University,269 Middle Beisihuan Road,Beijing 100083,China)
Abstract:Understanding the spatio-temporal distribution of remised land prices of a large city is important in formulating macro-controlling strategies of estate prices.The theory of gradient shift in regional economics combined with GIS technique is used to investigate spatio-temporal features of remised land prices(RLP) of Beijing.The results revealed that remised land price exhibit a high spatial correlation and the effect of regional factors on land price was more important than that of stochastic factors.High RLP regions were mainly located within second-ring road in 2001-2004,while in 2005,it shifted to outside second-ring road,2007 to outside third-ring road,2008 to outside fourth-ring road and 2009 to outside fifth-ring road.The area outside fifth-ring road will be the centre of residential development.The above gradient shift of land prices over the last ten years might be intimately associated with land supply of urban areas,construction track transportation,infrastructure,and shift of functions of downtown areas.
Keywords:remised land price  spatio-temporal distribution  GIS technique  gradient shift
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