北京市住宅价格的影响因素和轨道交通效应

发布时间：2018-09-07 11:52

【摘要】：以北京住宅楼盘样本为例,定性总结了轨道交通对住宅价格的明显增值效应以及距离衰减规律,并且明确了空间影响的距离参数。住宅价格随距离轨道交通站点的远近而变化,最高值出现在离最近轨道交通站点300~600 m之间。从建筑结构、地理区位和邻里环境三方面选取23个变量,采用特征价格模型定量分析了不同因素对住宅价格的空间影响效应和规律。其中,11个变量对住宅价格都有一定影响,建筑面积、混合住宅、精装和容积率以及至高速公路、工业区和公园的距离与价格正相关;至天安门和商业设施距离与价格负相关。住宅价格的轨道交通效应凸显,影响程度高于距天安门和高速公路的距离,已建地铁比在建地铁影响程度高。至已建和在建地铁站距离每减少1 km,价格分别平均上升1 313元/m2和502元/m2。
[Abstract]:Taking the sample of residential buildings in Beijing as an example, this paper qualitatively sums up the obvious increment effect and distance attenuation law of rail transit on housing price, and clarifies the distance parameters of spatial influence. The residential price varies with the distance from the rail transit station, and the highest value is between 300m and 600m from the nearest rail transit station. In this paper, 23 variables are selected from the aspects of building structure, geographical location and neighborhood environment, and the spatial effects and rules of different factors on housing price are quantitatively analyzed by using the characteristic price model. Among them, 11 variables have a certain impact on housing prices, building area, mixed housing, hardcover and volume ratio, as well as the distance to highways, industrial areas and parks are positively related to the price, and the distance to Tiananmen Square and commercial facilities is negatively correlated with the price. The rail transit effect of housing price is prominent, the influence degree is higher than the distance between Tiananmen and expressway, and the influence degree of the built subway is higher than that of the subway under construction. The average price for each km, reduction to the existing subway station is up by $1,313 / m ~ 2 and $502 / m ~ 2, respectively.
【作者单位】：北京联合大学应用文理学院;中国科学院地理科学与资源研究所;
【基金】：国家自然科学基金项目(41171107,41201115) 北京市社会科学基金项目(14CSC015) 北京市优秀人才资助项目(2013D005022000006) 北京联合大学人才强校计划人才资助项目(BPHR2012E01)
【分类号】：F299.23;F572

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