地域研究与开发
地域研究與開髮
지역연구여개발
Areal Research and Development
2014年
5期
59~64
,共null页
住宅价格 轨道交通效应 特征价格模型 北京市
住宅價格 軌道交通效應 特徵價格模型 北京市
주택개격 궤도교통효응 특정개격모형 북경시
housing prices; rail transit effects; hedonic price model; Beijing City
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—600m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1km，价格分别平均上升1313元／m2和502元／m2。
以北京住宅樓盤樣本為例，定性總結瞭軌道交通對住宅價格的明顯增值效應以及距離衰減規律，併且明確瞭空間影響的距離參數。住宅價格隨距離軌道交通站點的遠近而變化，最高值齣現在離最近軌道交通站點300—600m之間。從建築結構、地理區位和鄰裏環境三方麵選取23箇變量，採用特徵價格模型定量分析瞭不同因素對住宅價格的空間影響效應和規律。其中，11箇變量對住宅價格都有一定影響，建築麵積、混閤住宅、精裝和容積率以及至高速公路、工業區和公園的距離與價格正相關；至天安門和商業設施距離與價格負相關。住宅價格的軌道交通效應凸顯，影響程度高于距天安門和高速公路的距離，已建地鐵比在建地鐵影響程度高。至已建和在建地鐵站距離每減少1km，價格分彆平均上升1313元／m2和502元／m2。
이북경주택루반양본위례，정성총결료궤도교통대주택개격적명현증치효응이급거리쇠감규률，병차명학료공간영향적거리삼수。주택개격수거리궤도교통참점적원근이변화，최고치출현재리최근궤도교통참점300—600m지간。종건축결구、지리구위화린리배경삼방면선취23개변량，채용특정개격모형정량분석료불동인소대주택개격적공간영향효응화규률。기중，11개변량대주택개격도유일정영향，건축면적、혼합주택、정장화용적솔이급지고속공로、공업구화공완적거리여개격정상관；지천안문화상업설시거리여개격부상관。주택개격적궤도교통효응철현，영향정도고우거천안문화고속공로적거리，이건지철비재건지철영향정도고。지이건화재건지철참거리매감소1km，개격분별평균상승1313원／m2화502원／m2。
Taking real estate samples within the six-ring of Beijing as an example, first, the significant appre- ciation effects of rail traffic on the house price and the distance attenuation law are qualitatively summarized, and the distance parameter of space impact is cleared, housing price changes with distance, and the maximum value oc- curs between 300 ~ 600 meters from the nearest metro station ; secondly, from the three sides of buildings struc- tures, geographical location and environmental characteristics, 23 factors were selected, using Hedonic price mod- el, the effect and the law of impact of different factors on the housing prices were quantitatively analyzed. The result shows that, there are some impact of 11 variables on housing prices. Among building structural factors, the construction area and mixed residential and fine decoration and floor area rate are a positive correlation with housing prices respectively. Among location factors, the distance to Tiananmen Square is negatively related to housing prices. Among neighborhood environmental factors, the distance to commercial facilities is negatively related to housing prices, and the distance to industrial zone and the park is positively correlated to housing prices separately. In addition, rail transit effects of the house price is quite o higher than the two features of the distance from Tiananmen bvious. The impact of rail traffic on housing prices is Square and the highway. The impact of the built subway on housing prices is higher than the building subway. The distance to the nearest built and building subway sta- tions was reduced 1 kin, the average housing prices are increased 1 313 and 502 yuan per square meters respectively.
