地理学报 ›› 2011, Vol. 66 ›› Issue (8): 1055-1062.doi: 10.11821/xb201108005

• 城市研究 • 上一篇    下一篇

轨道交通对其沿线商品住宅价格的影响分析——以北京地铁5号线为例

冯长春, 李维瑄, 赵蕃蕃   

  1. 北京大学城市与环境学院, 北京 100871
  • 收稿日期:2010-07-15 修回日期:2011-03-13 出版日期:2011-08-20 发布日期:2011-09-22
  • 作者简介:冯长春(1957-), 男, 教授, 博士生导师, 中国地理学会会员(S110001563M), 主要研究方向城市与经济地理、城市与区域规划、土地与房地产经济、基础设施规划建设。E-mail: fcc@urban.pku.edu.cn
  • 基金资助:

    北京大学校长基金项目; 国家基础科学人才培养基金资助项目(J0630531)

Influence of Rail Transit on Nearby Commodity Housing Prices: A Case Study of Beijing Subway Line Five

FENG Changchun, LIWeixuan, ZHAO Fanfan   

  1. College of Urban and Environmental Science, Beijing 100871, China
  • Received:2010-07-15 Revised:2011-03-13 Online:2011-08-20 Published:2011-09-22
  • Supported by:

    President Fund in Peking University; China Educational Foundation for Undergraduate Students of Sciences, No.J0630531

摘要: 以北京地铁5 号线为例,研究了地铁沿线两侧2 km范围内,轨道交通对其沿线商品住宅价格的影响程度。① 通过分析商品住宅价格特性和影响因素,建立了轨道交通沿线商品住宅价格的影响因素体系,包括商品住宅项目距最近地铁站的最短路径距离、距市级商服中心距离、周边1 km内公交站点数、中小学及项目容积率、物业类型等10 个因素;② 通过显著性检验,重点中小学、普通中小学、公园3 个变量对商品住宅的价格影响很小,予以剔除后,构建了影响商品住宅价格的多元回归分析模型;③ 将采集到的193 个项目的有效样本进行运算分析,研究结果表明轨道交通对沿线商品住宅价格的影响最大,并随距轨道交通距离的增加,住宅价格呈指数衰减,至2 km以后,对住宅价格影响不显著。针对研究结果,建议地铁沿线土地利用强度和住宅价格确定时,要充分考虑轨道交通的影响。

关键词: 商品住宅价格, 轨道交通, 地铁5号线, 北京

Abstract: The paper, taking the Subway Line Five in Beijing as an example, studies the effect of rail transit on adjacent commodity housing prices. Firstly, based on results of previous studies and field study of Beijing Subway Line Five, our study areas are confined to a 2-km radius from subway line. Moreover, through analyzing commodity housing prices and their influences, a system of impact factors that could most possibly make a difference on commodity housing prices is set up. Those ten influencing factors include the shortest distance from housing project to the nearest subway station, distance from housing project to city-level commercial center, the number of bus lines within 1 km of the project, floor area ratio of the project, whether there is a key primary and secondary schools within 1 km of the project, whether there is a regular primary and secondary schools, whether there is a hospital, whether there is a park and its decoration condition as well as property type. Secondly, through conducting mean difference significant test on the dummy variables, we can exclude three of them which prove to have no significant impact on housing prices, including the number of key primary and secondary schools, ordinary schools, and parks within 1 km of housing projects. Thereafter, a multiple regression model is built to make correlation analysis of commodity housing price and the other seven influencing factors. Finally, after dealing with a total of 193 sample data, the result of the regression model shows that rail transit has the greatest effect on adjacent commodity housing price. Based on this result, we propose that real estate development along rail transit should fully consider the great effect that rail transit has on commodity housing price.

Key words: commodity housing price, rail transit, Subway Line Five, Beijing