上海南站对住宅价格影响的时空效应分析
收稿日期: 2008-03-26
修回日期: 2008-10-15
网络出版日期: 2009-02-25
基金资助
国家自然科学基金项目(40371034)
Temporal-spatial Impacts of the Shanghai South Railway Station on Housing Prices
Received date: 2008-03-26
Revised date: 2008-10-15
Online published: 2009-02-25
Supported by
National Natural Science Foundation of China, No.40371034
上海南站综合运输系统的建设促进了该地区经济的快速发展, 也带动了房地产升值。 利用上海南站开通前后9 年的房地产交易数据, 建立多种特征价格修正模型, 并分析模型拟合效果, 选择最适模拟模型。然后, 分4 个时段具体分析了上海南站影响效应的时间变化规律： 在上海南站规划首次公布之前, 这一地区的房价较其他地区低; 从规划公布至正式动工之前, 对周边地区住宅价格的影响并不显著; 在上海南站建设期间, 周边地区住宅已经对其 产生了反应, 由于人们对该地区的良好预期, 楼市出现了价涨量增的局面; 在上海南站建成开通之后, 其影响效应凸显。继而又从不同方向分析了上海南站影响效应的空间分异特征： 上海南站对住宅价格的增值作用平均范围为1.85 km; 分区域来看, 上海南站对沪闵路沿线 住宅价格的影响范围在2.2 km 内; 对上海植物园周边楼盘价格的影响范围在1.45 km 内; 对 沿中环线住宅价格的影响则不明显。
石忆邵, 郭惠宁 . 上海南站对住宅价格影响的时空效应分析[J]. 地理学报, 2009 , 64(2) : 167 -176 . DOI: 10.11821/xb200902004
The impact of large transport infrastructure on real estate prices has become an interesting theme. But the impact of a large-scale comprehensive transportation system on real estate prices has seldom been studied, and the empirical study of integrating temporal effects with spatial effects is rare too. In the present study, exemplified by the Shanghai South Railway Station, a large-scale comprehensive transportation system, the authors analyze its temporal and spatial impacts on housing prices at different stages and in various directions by means of modified hedonic price models and multi-regression method based on the nine-year long housing transaction data. The results show: (1) the construction of the Shanghai South Railway Station has highly stimulated economic growth in this area, and also leads to the appreciation of residential property values; (2) effects on peripheral housing prices seldom occurrs before its construction; a little reaction on peripheral housing prices during its construction; after its opening, the housing prices obviously fall as the distance increases away from the Shanghai South Railway Station; and (3) the average impact range of the Shanghai South Railway Station on housing prices is within 1.85 km. However, its effects differentiate in different directions. Along the Humin Road, its impact range is within 2.2 km; around the Shanghai Arboretum, its impact range is within 1.45 km, and along the Middle Ring Line, its impact is not marked.
[1] Knight R L, Trygg L L. Evidence of land use impacts of rapid transit system. Transportation, 1977, 6: 231-248.
[2] Damm D, Lerman S, Lerner-Lamm E et a1. Response of urban real estate values in anticipation of Washington Metro.Journal of Transport Economics and Policy, 1980, 14: 315-336.
[3] Cervero R. Rail transit and urban development: Land market impacts in Washington, D. C. and Atlanta. Journal of the American Planning Association, 1994, 60(1): 83-94.
[4] Ratner K A. The relationship of United States rail transit development and success with urban population, employment and congestion characteristics. Denver: University of Denver, 2001. 13.
[5] Bowes D R, Ihlanfeldt K R. Identifying the impacts of rail transit stations on residential property values. Journal of Urban Economics, 2001, 50(1): 1-25.
[6] McMillen D P, McDonald J. Reaction of house prices to a new rapid transit line: Chicago's Midway Line, 1983-1999.Real Estate Economics, 2004, 32(3): 463-486.
[7] Cohen J P, Paul C M. The impacts of transportation infrastructure on property values: A higher-order spatial econometrics approach. Journal of Regional Science, 2007, 47(3): 457-478.
[8] Hess D P. Impact of proximity to light rail rapid transit on station-area property values in Buffalo, New York. Urban Studies, 2007, 44(5): 1041-1068.
[9] Zhu Jingfeng, Zhou Qi. The impacts of rail rapid transit line on housing prices: Exemplified by Shanghai subway No.1.Journal of Shanghai Normal University (Natural Science Section), 2004, 6: 86-92.
[褚劲风, 周琪. 轨道交通对其沿线商品住宅价格的影响: 以上海地铁一号线为例. 上海师范大学学报(自然科学版), 2004, 6: 86-92.]
[10] Wang Xia, Zhu Daolin, Ming Ming. The impacts of urban rail transportation on real estates prices: Exemplified by Beijing light rail line No.13. Urban Problems, 2004, (6): 39-41.
[王霞, 朱道林, 鸣明. 城市轨道交通对房地产价格的影响: 以北京市轻轨13 号线为例. 城市问题, 2004, (6): 39-41.]
[11] Zheng Jiefen, Liu Hongyu. The impact of subway construction on peripheral residential property values in Shenzhen city. Journal of Railway, 2005, (10): 12-18.
[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, (10): 12-18.]
[12] Chen Feng, Wu Qibing. Quantitative study of rail transportation on real estate appreciation. Research on Urban Rail Transportation, 2006, (3): 12-17.
[陈峰, 吴奇兵. 轨道交通对房地产增值的定量研究. 城市轨道交通研究, 2006, (3):12-17.]
[13] Chen Bixin, Chen Xiaohong. Analysis of impact factors of rail transportation on urban housing prices. Price Theory and Practice, 2006, (11): 28-29.
[陈毕新, 陈小鸿. 轨道交通对城市住宅价格的影响因素分析. 价格理论与实践, 2006,11: 28-29.]
[14] Jiang Yong, Ye Xiafei, Wang Zhi. Study of impact range of Shanghai light rail transit line No.1 on real estate prices along line. Research on Urban Rail Transportation, 2007, (2): 28-31.
[江永, 叶霞飞, 王治. 上海轨道交通1 号线对沿线房地产价格的影响范围研究. 城市轨道交通研究, 2007, (2): 28-31.]
[15] He Jianhua. The effects of Beijing subway line No.13 on housing prices based on hedonic models. Beijing: Tsinghua University, 2004.
[何剑华. 用hedonic 模型研究北京地铁13 号线对住宅价格的效应. 北京: 清华大学, 2004.]
[16] Pogodzinski J M, Sass T R. Zoning and hedonic housing price models. Journal of Housing Economics, 1991, 1 (3):271-292.
[17] Can A. Specification and estimation of hedonic housing price models. Regional Science and Urban Economics, 1992, 22(3): 453-474.
[18] Paez A, Uchida T, Miyamoto K. Spatial association and heterogeneity issues in land price models. Urban Studies, 2001, 38(9): 1493-1508.
[19] Kim C W, Phipps T T, Anselin L. Measuring the benefits of air quality improvement: A spatial hedonic approach. Journal of Environmental Economics and Management, 2003, 45(1): 24-39.
[20] Morancho A B. A hedonic valuation of urban green areas. Landscape and Urban Planning, 2003, 66: 35-41.
[21] Kestens Y, Theriautt M, Rosiers F D. Heterogeneity in hedonic modeling of house price: Looking at buyers' household profiles. Journal of Geographical Systems, 2006, 8(1): 61-96.
[22] Bitter C, Mulligan G F, Dall'erba S. Incorporating spatial variation in housing attribute prices: A comparison of geographically weighted regression and the spatial expansion method. Journal of Geographical Systems, 2007, 9 (1):7-27.
[23] Farber S, Yeates M. A comparison of localized regression models in a hedonic house price context. Canadian Journal of Regional Science, 2006, 22.
[24] Liu Guiwen, Peng Yan. The impacts of rail transportation on real estates values: Exemplified by Chongqing city. Urban Problems, 2007, (1): 65-69.
[刘贵文, 彭燕. 轨道交通对住宅房地产价值的影响: 以重庆市为例. 城市问题, 2007,(1): 65-69.]
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