基于GWR模型的苏州市住宅价格空间分异与影响因素研究  

A study on the influencing factors and spatial differentiation of housing price in Suzhou based on GWR model

作　　者：朱进 徐昱 张委伟 李晨映 ZHU Jin;XU Yu;ZHANG Weiwei;LI Chenying(School of Geography Science and Geomatics Engineering,SUST,Suzhou 215009,China;Institute of Geographical Sciences and Natural Resources Research,CAS,Beijing 100101,China)

机构地区：[1]苏州科技大学地理科学与测绘工程学院,江苏苏州215009 [2]中国科学院地理科学与资源研究所,北京100101

出　　处：《苏州科技大学学报（自然科学版）》2022年第3期57-64,共8页Journal of Suzhou University of Science and Technology（Natural Science Edition）

基　　金：国家自然科学基金资助项目(41701477);中国科学院资源与环境信息系统国家重点实验室开放基金资助项目(201816);苏州科技大学人才引进科研资助项目(331511203)。

摘　　要：基于地理加权回归模型研究苏州市2020年住宅小区的价格特征,探索苏州市住宅价格的空间分异及其影响因素。研究结果表明:不同因子对住宅价格的影响存在差异,从大到小分别为CBD距离、物业管理费、功能混合度、周边公交站点总和、楼龄、容积率、绿化率、最近地铁站距离;住宅价格影响因素存在显著的空间异质性,各影响因素在城市不同区域对住宅价格的影响尺度存在差异,其中中心城区受CBD距离、最近地铁站距离影响较大,而偏远城区主要受物业管理费、功能混合度影响;CBD距离、物业管理费、功能混合度等体现住房消费者收入能力、居住环境诉求、生活方式的要素,成为最具房价影响力的影响因素,表明城市房价分异与居住群体的空间分异存在着一定的联系。Based on the housing price data of residential communities of Suzhou in 2020,a geographically weighted regression model was established to explore the spatial differentiation of housing prices and its influenc-ing factors in Suzhou.The results show that the housing prices vary with the impacts of different factors,such as distance to CBD,property management fee,functional mix degree,total number of surrounding bus stops,building age,floor area ratio,greening rate,and the nearest subway station distance,from small to large.The influencing factors of housing prices have significant spatial heterogeneity,and the influencing degree of each factor is different in different areas of the city.The central urban area is greatly affected by distance to CBD and the nearest subway station distance,while the remote urban area is mainly affected by property management fee and func-tional mix degree.Distance to CBD,property management fees,functional mix degree and other factors reflecting the income ability of housing consumers,living environment demands and lifestyle are the most influential factors of housing prices,which indicates that there is a certain relationship between the differentiation of urban housing prices and the spatial heterogeneity of residential groups.

关 键 词：地理加权回归 小区住宅价格 苏州 

分 类 号：C912.81[经济管理]