The rising demand for subway after private driving restriction: Evidence from Beijing's housing market

Regional Science and Urban Economics

Volumn 54, Issue , 2015, Pages 28-37

  Xu, Yangfei ^a   Zhang, Qinghua ^b   Zheng, Siqi ^a  

^a TSINGHUA UNIVERSITY   (China)

^b PEKING UNIVERSITY   (China)

Author keywords

Driving restriction; Housing price; Spatial heterogeneity; Subway capitalization effect

Indexed keywords

AUTOMOBILE; DEMAND ANALYSIS; HETEROGENEITY; HOUSING MARKET; PRICE DYNAMICS; SPATIAL ANALYSIS; TRANSPORTATION SYSTEM; TRAVEL TIME; URBAN TRANSPORT;

BEIJING [CHINA]; CHINA;

EID: 84936936682     PISSN: 01660462     EISSN: 18792308     Source Type: Journal    
DOI: 10.1016/j.regsciurbeco.2015.06.004     Document Type: Article

References (18)

1. Bartholomew K., Ewing R. Hedonic price effects of pedestrian- and transit-oriented development. J. Plan. Lit. 2011, 26(1):18-34.
2. Baum-Snow N., Kahn M.E. The effects of new public projects to expand urban rail transit. J. Public Econ. 2000, 77:241-263.
3. Baum-Snow N., Turner M.A. Transportation and the decentralization of Chinese cities. Working Paper of Brown University 2014.
4. Brian Viardand B., Fu S. The effect of Beijing's driving restrictions on pollution and economic activity. MPRA Paper 2011.
5. Cervero R., Murphy S., Ferrell Christopher, et al. Transit-oriented Development in the United States: Experiences, Challenges, and Prospects (TCRP 102) 2004, Transportation Research Board, Washington, DC.
6. Debrezion G., Pels E., Rietveld P. The impact of railway stations on residential and commercial property value: a meta-analysis. J. Real Estate Financ. Econ. 2007, 35:161-180.
7. Dubé M.G., Duinker P., Greig L., et al. A framework for assessing cumulative effects in watersheds: an introduction to Canadian case studies. Integr. Environ. Assess. Manag. 2013, 9(3):363-369.
8. Duncan M. The impact of transit-oriented development on housing prices in San Diego, CA. Urban Stud. 2011, 48(1):101-127.
9. Gatzlaff D.H., Smith M.T. The impact of the Miami Metrorail on the value of residences near station locations. Land Econ. 1993, 69(1):54-66.
10. Gibbons S., Machin S. Valuing rail access using transport innovations. J. Urban Econ. 2005, 57:148-169.
11. Guo X., Zheng S., Geltner D., Liu H. A new approach for constructing home price indices: the pseudo repeat sales model and its application in China. J. Hous. Econ. 2014, 25:20-38.
12. Imbens G.W., Wooldridge J.M. Recent developments in the econometrics of program evaluation. J. Econ. Lit. 2009, 47:5-86.
13. McMillen D.P. Repeat sales as a matching estimator. Real Estate Econ. 2012, 40(4):745-773.
14. McMillen D.P., McDonald J. Reaction of house prices to a new rapid transit line: Chicago's Midway Line, 1983-1999. Real Estate Econ. 2004, 32:463-486.
15. Nelson A.C. Effects of elevated heavy rail transit stations on house prices with respect to neighborhood income. Transp. Res. Rec. 1992, 1359:127-132.
16. Rosen S. Hedonic prices and implicit markets: product differentiation in pure competition. J. Polit. Econ. 1974, 82:34-55.
17. Ryan S. The value of access to highways and light rail transit: evidence for industrial and office firms. Urban Stud. 2005, 42(4):751-764.
18. Sun C., Zheng S., Wang R. Restricting driving for better traffic and clear skies: did it work in Beijing?. Transp. Policy 2014, 32:34-41.