摘要
以滁州市主城区2018年在售普通商品住宅价格为研究对象,运用趋势面分析、空间自相关分析以及克里金插值进行空间分异特征研究,进而利用地理加权回归模型探究房价影响因子。结果表明:(1)滁州市主城区商品住宅价格空间分布呈现东西方向由中心向四周递减,南北方向由北向南逐渐递增的趋势,且变化速度不均;(2)Moran’s I统计量为0.425981,住宅价格空间正相关性明显,具有显著空间集聚性,其中,龙蟠街道、清流街道、凤凰街道的商品住宅价格以高高集聚为主,西门街道、北门街道、扬子街道的商品住宅价格以低低集聚为主,且部分区域空间异质性明显;(3)对11个指标因子进行地理加权回归分析得到调整后R 2值为0.671,说明模型有较好的拟合度,影响因子对于滁州市房价空间分异具有较好的解释作用;(4)滁州市商品住宅价格空间分异影响较大的因子依次为学校、商业中心、物业管理,影响较小的因子依次为政务中心、超市、银行。
Taking the price of common commodity housing in the main urban area of Chuzhou City in 2018 as the research object,this paper uses trend surface analysis,spatial autocorrelation analysis and Kriging interpolation to study the spatial differentiation characteristics,and then uses the geographically weighted regression model to explore the influencing factors of housing prices.The results show that:(a)the spatial distribution of commodity housing prices in Chuzhou’s main urban area shows a decreasing trend from east to west,from north to south,and the changing speed is uneven;(b)Moran’s I statistic is 0.425981,and the positive correlation of housing price space is obvious,with significant spatial agglomeration,including Longpan Street,Qingliu Street and Fenghuang Street.Commodity housing prices are mainly high agglomeration,while those of Ximen Street,Beimen Street and Yangtze Street are mainly low agglomeration,and the spatial heterogeneity of some regions is obvious;(c)the adjusted R 2 value is 0.671 by geographically weighted regression analysis of 11 index factors,which shows that the model has a better fitting degree,and the impact factors have a better spatial differentiation of Chuzhou’s house prices.Good explanatory function;(d)the factors that influence the spatial differentiation of commodity housing prices in Chuzhou are schools,business centers and property management,while the factors that influence the spatial differentiation of commodity housing prices are government centers,supermarkets and banks.
作者
邓凯
朱世泉
潘生威
DENG Kai;ZHU Shiquan;PAN Shengwei(School of Geographical Information and Tourism,Chuzhou University,Chuzhou 239000,China)
出处
《黑龙江工程学院学报》
CAS
2020年第4期16-24,共9页
Journal of Heilongjiang Institute of Technology
基金
安徽省大学生创新创业训练计划项目(S201910377175)
安徽省大学生创新创业训练计划项目(S201910377106)。
关键词
商品住宅价格
空间分异特征
地理加权回归
房价影响因子
commodity housing price
spatial differentiation characteristics
geographically weighted regression
housing price factor of imfluence
作者简介
第一作者简介:邓凯(1986-),男,讲师,研究方向:GIS和RS应用.
