北京市区轨道交通对周边住房租赁价格的影响分析

doi:10.13959/j.issn.1003-2398.2021.04.018

Abstract
Figure/Table
References (0)
Related Citation (15)

Download: PDF (4703 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract Based on the transaction data of the housing rental samples within the Sixth Ring Road in Beijing, this article takes the Beijing Metro as an example, and uses a spatial regression model to empirically explore the impact of rail transit on housing rental prices in two different ways:Shared rental mode and unshared rental mode. The results show that:1) The employment accessibility based on rail transit has a significant value-added effect on rental prices, and tenants are willing to pay a premium for housing rent with better employment accessibility. 2) The density of subway stations has a positive impact on the rental price in unshared rental mode, and has no significant effect on the shared rental mode, while the subway transfer line variable has no significant impact both. 3) The effect of rail transit of different rental modes on the rental price shows a different regular pattern as the distance increases. The effect of the rental price of the shared rental mode decreases monotonically with the increase of the actual road network distance, and the largest impact is within 500m from the station; while the unshared rental mode exhibits an inverted "U" shape change, and the value-added effect is greatest within the range of 500-1500m. According to the research results, it is suggested that the government increase the supply of rental housing while fully considering the elements of rail transit, and implement precise measures to achieve the efficient allocation of space for public resources.

Key words： rail transport housing rental price spatial error model Beijing

Received: 28 June 2020

PACS:

F293.33

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	WANG Qian
	FENG Chang-chun
	SU Li-xin
	CUI Na-na

Cite this article:

WANG Qian,FENG Chang-chun,SU Li-xin等. THE IMPACT OF THE URBAN RAIL TRANSIT SYSTEM ON HOUSING RENT: A CASE STUDY OF BEIJING METRO[J]. HUMAN GEOGRAPHY, 2021, 36(4): 151-158.

URL:

http://rwdl.xisu.edu.cn/EN/10.13959/j.issn.1003-2398.2021.04.018 OR http://rwdl.xisu.edu.cn/EN/Y2021/V36/I4/151

[1]	Cervero R, Landis J. Assessing the impacts of urban rail transit on local real estate markets using quasi-experimental comparisions[J]. Transportation Research Part A:Policy and Practice, 1993,27(1):13-22.
[2]	Bae C C, Jun M, Park H. The impact of Seoul's subway line 5 on residential property values[J]. Transport Policy, 2003,10(2):85-94.
[3]	Efthymiou D, Antoniou C. How do transport infrastructure and policies affect house prices and rents? Evidence from Athens, Greece[J]. Transportation Research Part A:Policy and Practice, 2013,52:1-22.
[4]	Sadayuki T. Measuring the spatial effect of multiple sites:An application to housing rent and public transportation in Tokyo, Japan[J]. Regional Science and Urban Economics, 2018,70:155-173.
[5]	Benjamin J D, Sirmans G. Mass transportation, apartment rent and property values[J]. Journal of Real Estate Research, 1996,12(1):1-8.
[6]	苏亚艺,朱道林,耿槟.北京市住宅租金空间结构及其影响因素[J]. 经济地理,2014,34(4):64-69.[Su Yayi, Zhu Daolin, Geng Bin. The spatial structure and affecting factors of the housing rental in Beijing[J]. Economic Geography, 2014,34(4):64-69.]
[7]	汪佳莉,季民河,邓中伟.基于地理加权特征价格法的上海外环内住宅租金分布成因分析[J].地域研究与开发,2016,35(5):72-80.[Wang Jiali, Ji Minhe, Deng Zhongwei. Factors behind residential rent distribution in outer ring of Shanghai:A GWR-based Hedonic price analysis[J]. Areal Research and Development, 2016,35(5):72-80.]
[8]	Cervero R, Duncan M. Transit's value-added effects:Light and commuter rail services and commercial land values[J]. Transportation Research Record:Journal of the Transportation Research Board, 2002,1805(1):8-15.
[9]	Chen H, Rufolo A, Drucker K J. Measuring the impact of light rail systems on single family home values:A Hedonic approach with GIS application[J]. Transportation Research Record, 1998,1617(5):38-43.
[10]	冯长春,李维瑄,赵蕃蕃.轨道交通对其沿线商品住房价格的影响分析——以北京地铁5号线为例[J].地理学报,2011,66(8):1055-1062.[Feng Changchun, Li Weixuan, 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.]
[11]	刘康,吴群,王佩.城市轨道交通对住房价格影响的计量分析——以南京市地铁1、2号线为例[J].资源科学,2015,37(1):133-141.[Liu Kang, Wu Qun, Wang Pei. Econometric analysis of the impacts of rail transit on property values:The number 1 and 2 lines in Nanjing[J]. Resources Science, 2015,37(1):133-141.]
[12]	谷一桢,郭睿.轨道交通对房地产价值的影响——以北京市八通线为例[J].经济地理,2008,28(3):411-414,453.[Gu Yizhen, Guo Rui. The impact of the rail transit on property values:Empirical study in Batong line of Beijing[J]. Economic Geography, 2008, 28(3):411-414,453.]
[13]	潘海啸,钟宝华.轨道交通建设对房地产价格的影响——以上海市为案例[J].城市规划学刊,2008(2):62-69.[Pan Haixiao, Zhong Baohua. The impact of metro on property price:A case study of Shanghai[J]. Urban Planning Forum, 2008(2):62-69.]
[14]	王琳.城市轨道交通对住宅价格的影响研究——基于特征价格模型的定量分析[J].地域研究与开发,2009,28(2):57-61,70.[Wang Lin. Empirical study on the impact of urban rail transit on house price-based on Hedonic price model[J]. Areal Research and Development, 2009,28(2):57-61,70.]
[15]	谷一桢,郑思齐.轨道交通对住房价格和土地开发强度的影响——以北京市13号线为例[J].地理学报,2010,65(2):213-223.[Gu Yizhen, Zheng Siqi. The impacts of rail transit on property values and land development intensity:The case of No.13 line in Beijing[J]. Acta Geographica Sinica, 2010,65(2):213-223.]
[16]	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[J]. 地理研究,2010,29(5):801-810.[Nie Chong, Wen Haizhen, Fan Xiaofeng. The spacial and temporal effect on property value increment with the development of urban rapid rail transit:An empirical research[J]. Geographical Research, 2010,29(5):801-810.]
[17]	梅志雄,徐颂军,欧阳军.广州地铁三号线对周边住房价格的时空影响效应[J].地理科学,2011,31(7):836-842.[Mei Zhixiong, Xu Songjun, OuYang Jun. Spatio-temporal impact effects of Guangzhou metro 3rd line on housing prices[J]. Scientia Geographica Sinica, 2011,31(7):836-842.]
[18]	张维阳,李慧,段学军.城市轨道交通对住房价格的影响研究——以北京市地铁一号线为例[J].经济地理,2012,32(2):46-51,65.[Zhang Weiyang, Li Hui, Duan Xuejun. The impacts of rail transit on property values:The case of No.1 Line in Beijing[J]. Economic Geography, 2012,32(2):46-51,65.]
[19]	王福良,冯长春,甘霖.轨道交通对沿线住房价格影响的分市场研究——以深圳市龙岗线为例[J].地理科学进展,2014,33(6):765-772.[Wang Fuliang, Feng Changchun, Ganlin. Impact of rail transit on the residential property prices of submarkets:A case of the Longgang line of Shenzhen[J]. Progress in Geography, 2014,33(6):765-772.]
[20]	Alonso W. Location and Land Use:Toward a General Theory of Land Rent[M]. MA:Harvard University Press, 1964.
[21]	乐晓辉,陈君娴,杨家文.深圳轨道交通对城市空间结构的影响——基于地价梯度和开发强度梯度的分析[J].地理研究,2016, 35(11):2091-2104.[Le Xiaohui, Chen Junxian, Yang Jiawen. Impact of rail transit on urban spatial structure in Shenzhen:Analysis based on land parcel price and FAR gradients[J]. Geographical research, 2016,35(11):2091-2104.]
[22]	Hutchinson P M. The effects of accessibility and segregation on the employment of the urban poor[C]//Von Furstenberg G M, Harrison B, Horowitz A R. Patterns of Racial Discrimination. Lexington:Lexington Books, 1974:77-96.
[23]	Black J, Conroy M. Accessibility measures and the social evaluation of urban structure[J]. Environment and Planning A, 1977,9(9):1013-1031.
[24]	Bowes D R, Ihlanfeldt K R. Identifying the impacts of rail transit stations on residential property values[J]. Journal of Urban Economics, 2001,50(1):1-25.
[25]	Rosen S. Hedonic prices and implicit markets:Product differentiation in pure competition[J]. Journal of Political Economy, 1974, 82(1):34-55.
[26]	LeSage J P, Pace R K. Introduction to Spatial Econometrics[M]. Boca Raton:CRC Press, 2009:45-46.
[27]	Anselin L. Thirty years of spatial econometrics[J]. Papers in Regional Science, 2010,89(1):3-25.
[28]	Sun T, Fan Y, Qi Y. Beijing Job Accessibility Map-Transit:A Joint Initiative Between the Global Transit Innovations at the University of Minnesota and the School of Government at the Peking University[R]. Minneapolis, US:University of Minnesota Press, 2015.
[29]	胡瑞山,王振波,仇方道.基于普查单位的北京市就业中心识别与功能定位[J].人文地理,2016,31(4):58-65.[Hu Ruishan, Wang Zhenbo, Qiu Fangdao. Identification and function orientation of employment centers in Beijing based on the census unit analyzing[J]. Human Geography, 2016,31(4):58-65.]