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Subway Opening, Traffic Accessibility, and Housing Prices: A Quantile Hedonic Analysis in Hangzhou, China

by 1,2, 1,2, 2,3,*, 1,2 and 4
1
Department of Civil Engineering, Zhejiang University, Hangzhou 310058, China
2
Center for Real Estate Studying, Zhejiang University, Hangzhou 310058, China
3
School of Public Administration, Zhejiang University, Hangzhou 310058, China
4
Department of Urban and Regional Planning, Florida State University, Tallahassee, FL 32306, USA
*
Author to whom correspondence should be addressed.
Sustainability 2018, 10(7), 2254; https://doi.org/10.3390/su10072254
Received: 22 April 2018 / Revised: 23 June 2018 / Accepted: 27 June 2018 / Published: 30 June 2018
(This article belongs to the Section Sustainable Transportation)
Most existing studies empirically investigated the impact of rail transit on housing prices using the traditional hedonic price model, which is based on ordinary least squares (OLS). This method can estimate only the average implicit prices of housing characteristics and may ignore possible heterogeneous impacts of rail transit at different housing price levels. As a useful supplement to OLS regression, quantile regression can measure how implicit prices of explanatory variables vary across different price levels, thereby providing a comprehensive picture of the relationship between housing characteristics and prices. By using Hangzhou, China as an example, this study adopts the traditional hedonic price model and quantile regression model to investigate the capitalization effect of a new subway line on housing prices. Empirical results suggest the significant impacts of accessibility to subway stations. The average housing price within 2 km of the station is 2.1% to 6.1% higher than those outside. We also find that the impacts of the subway differ significantly across the distribution of housing prices, wherein the absolute value of estimated coefficients increased from 0.023 for the 15th quantile to 0.086 for the 95th quantile. The subway opening strengthens the capitalization effect of traffic accessibility. The absolute value of price elasticity increases from 0.044 to 0.053, and the range of influence is expanded from 1500 m to 2000 m. View Full-Text
Keywords: rail transit; housing price; capitalization; hedonic price model; quantile regression; accessibility to subway stations rail transit; housing price; capitalization; hedonic price model; quantile regression; accessibility to subway stations
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MDPI and ACS Style

Wen, H.; Gui, Z.; Tian, C.; Xiao, Y.; Fang, L. Subway Opening, Traffic Accessibility, and Housing Prices: A Quantile Hedonic Analysis in Hangzhou, China. Sustainability 2018, 10, 2254. https://doi.org/10.3390/su10072254

AMA Style

Wen H, Gui Z, Tian C, Xiao Y, Fang L. Subway Opening, Traffic Accessibility, and Housing Prices: A Quantile Hedonic Analysis in Hangzhou, China. Sustainability. 2018; 10(7):2254. https://doi.org/10.3390/su10072254

Chicago/Turabian Style

Wen, Haizhen, Zaiyuan Gui, Chuanhao Tian, Yue Xiao, and Li Fang. 2018. "Subway Opening, Traffic Accessibility, and Housing Prices: A Quantile Hedonic Analysis in Hangzhou, China" Sustainability 10, no. 7: 2254. https://doi.org/10.3390/su10072254

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