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.
FENG Changchun, LIWeixuan, ZHAO Fanfan
. Influence of Rail Transit on Nearby Commodity Housing Prices: A Case Study of Beijing Subway Line Five[J]. Acta Geographica Sinica, 2011
, 66(8)
: 1055
-1062
.
DOI: 10.11821/xb201108005
[1] Bajic V. The effects of a new subway line on housing prices in metropolitan Toronto. Urban Studies, 1983, (20): 147-158.
[2] Henneberry J. Transport investment and house prices. Journal of Property Valuation and Investment, 1998, 16(2): 144-158.
[3] Koutsopoulos K C. The impact of mass transit on residential property values. Annals of The Association of AmericanGeographers, 1977, 67(4): 564.
[4] Lee Cockerill, Denise Stanley. How will the centerline affect property values in Orange County. Institute of Economic andEnvironmental Studies, California State University-Fullerton, 2002.
[5] Weinstein B L, Clower T L. An assessment of the DART LRT on taxable property valuation and transit orienteddevelopment. Center for Economic Development and Research, University of North Texas, September 2002.
[6] Han B R. Neighborhood land value changes from subway construction: Case study generalized least squares. DankookUniversity Regional Studies, 1991, (11): 125-14.
[7] Bowes D R, Ihlanfeldt K R. Identifying the impacts of rail transit stations on residential property values. Journal of UrbanEconomics, 2001, 50: 8-13.
[8] Zhang Xiaosong, Hu Zhihui, Zheng Rongzhou. The impacts of UMT development on urban land use. Urban Mass Transit,2003, (6): 24-26. [张小松, 胡志晖, 郑荣洲等. 城市轨道交通对土地利用的影响分析. 城市轨道交通研究, 2003, (6):24-26.]
[9] Wang Qiong. URT influences on real estate prices along the lines. Urban Mass Transit, 2008, (2): 10-13. [王琼. 城市轨道交通对沿线房地产价格的影响. 城市轨道交通研究, 2008, (2): 10-13.]
[10] Liang Qinghuai, Kong Lingyang, Deng Wenbin. Impact of URT on real estate value: the case of Beijing Metro Line 13.China Civil Engineering Journal, 2007, 40(4): 98-103. [梁青槐, 孔令洋, 邓文斌. 城市轨道交通对沿线住宅价值影响定量计算实例研究. 土木工程学报, 2007, 40(4): 98-103.]
[11] Nie Chong, Wen Haizhen, Fan Xiaofeng. The spacial and temporal effect on property value increment with thedevelopment of urban rapid rail transit: An empirical research. Geographical Research, 2010, 29(5): 801-810. [聂冲, 温海珍, 樊晓锋. 城市轨道交通对房地产增值的时空效应. 地理研究, 2010, 29(5): 801-810.]
[12] Zheng Jiefen, Liu Hongyu. The impact of URRT on house prices in Shenzhen. Journal of the China Railway Society,2005, 27(5): 11-18. [郑捷奋, 刘洪玉. 深圳地铁建设对站点周边住宅价值的影响. 铁道学报, 2005, 27(5): 11-18.]
[13] Gu Yizhen, Xu Zhiyi. Review on the impact on real estate value brought by railway transportation. Urban Problems, 2007,(12): 45-50. [谷一桢, 徐治乙. 轨道交通对房地产价值影响研究综述. 城市问题, 2007, (12): 45-50.]
[14] He Fang, Wang Xiaoli. The influence of rail transit on house values. China Real Estate, 2004, (9): 13-15. [何芳, 王晓丽.轨道交通对房地产价值的影响. 房地产市场, 2004, (9): 13-15.]
[15] Beijing Statistics Bureau and the Beijing Real Estate Exchange Network. www.bjfdc.gov.cn [2009-08-20].
[16] Tao Shu. Applied Methods of Mathematical Statistics. Beijing: China Environmental Science Press, 1994: 60-61. [陶澍. 应用数理统计方法. 北京: 中国环境科学出版社, 1994: 60-61.]
[17] DonaldWM, Ronald D S. Ridge regression in practice. The American Statistician, 1975, 29(1): 3-20.
[18] Hoerl A E, Kennard R W. Ridge regression: Biased estimation of nonorthogonal problems. Technometrics, 1970, 12:55-67.
[19] Yang Nan. The unique role of ridge regression analysis in solving the problem of multicollinearity. Statistics and Decision,2004, (3): 14-15. [杨楠. 岭回归分析在解决多重共线性问题中的独特作用. 统计与决策, 2004, (3): 14-15.]
[20] Huang Youcai. The ridge estimation and its application. Journal of Wuhan Technical University of Surveying and Mapping, 1987, 12(4): 64-73. [黄幼才. 岭估计及其应用. 武汉测绘科技大学学报, 1987, 12(4): 64-73.]
