城市轨道交通沿线住宅租金的空间分异分析——以长沙市地铁1号线、2号线和4号线为例  

Spatial Differentiation of Residential Rents along Urban Rail Transit:The Case of Metro Line 1,Line 2 and Line 4 in Changsha

作　　者：唐文彬[1] 肖秋菱 颜红艳 陈艳[3] TANG Wenbin;XIAO Qiuling;YAN Hongyan;CHEN Yan(School of Economics and Management,Changsha University of Science and Technology,Changsha 410114,Hunan,China;School of Engineering Management,Hunan University of Finance and Economics,Changsha 410205,Hunan,China;School of Civil Engineering,Central South University,Changsha 410075,Hunan,China)

机构地区：[1]长沙理工大学经济与管理学院,中国湖南长沙410114 [2]湖南财政经济学院工程管理学院,中国湖南长沙410205 [3]中南大学土木工程学院,中国湖南长沙410075

出　　处：《经济地理》2021年第7期100-108,共9页Economic Geography

基　　金：国家社会科学基金一般项目(14BGL160、16CGL004);湖南省自然科学基金面上项目(2021JJ30748);湖南省高校创新平台开放基金项目(17K008);湖南省教育厅重点项目(19A082);长沙理工大学湖南省企业战略管理与投资决策研究基地(19qyzd02)。

摘　　要：考虑到样本数据存在空间相关性与异质性特征,基于空间计量视角构建地理加权回归模型(GWR),分析在城市轨道交通(URT)沿线住宅租金的空间分异特征,按照每200 m的间隔对租金影响范围进行细分,预测URT对住宅租金的影响强度在各区间内的变化趋势,以新一线城市长沙为例,选取地铁沿线2.6 km范围内的2233个样本展开实证研究,结果表明:与普通最小二乘法(OLS)相比,GWR具有更好的模型拟合优度;在12个主要影响因素中,住宅到城市商业中心(CBD)的距离对租金的影响最为显著,其次是住宅建筑面积,体现了租户首先考虑的是住宅区位因素和结构因素,然后才是邻里因素的心理特征;靠近中央商务区的小户型住宅更受租户青睐,具有更高的收益率;长沙地铁对沿线住宅租金会产生积极影响,尤其是对600~1000 m范围内的住宅租金影响最大。Taking account of the spatial correlation and heterogeneity of the sample data,and based on the geographically weighted regression model(GWR)from the perspective of spatial measurement,this study analyzes the spatial differentiation characteristics of residential rents along the urban rail transit(URT).According to the interval of every 200 m,the scope of rent influence is subdivided to predict the changing trend of the influence intensity of URT on residential rents in each interval,and enriches of the relevant predictive studies on the overall evaluation.The article takes Changsha,a new first-tier city,as an example,selects 2233 samples within 2.6 km along the metro to conduct empirical research.The results show that,compared with ordinary least squares(OLS),the GWR model has better goodness of fit.Among the 12 main influencing factors,the distance from the residence to the central business district(CBD)has the most significant impact on rents,followed by the residential building area,which reflects the psychological characteristics that tenants firstly consider residential location and structural factors,and then neighborhood factors;Small-sized residences close to the CBD are more favored by tenants and have a higher rate of return;Changsha Metro will have a positive impact on the rent of houses along the line,especially within the range of 600 m to 1000 m.

关 键 词：城市轨道交通 住宅租金 地理加权回归模型 城市商业中心(CBD) 区位因素 保障性住房 

分 类 号：F299.23[经济管理—国民经济]