THE IMPACT OF THE URBAN RAIL TRANSIT SYSTEM ON HOUSING RENT: A CASE STUDY OF BEIJING METRO
WANG Qian1, FENG Chang-chun2, SU Li-xin2, CUI Na-na3
1. Guangzhou Urban Planning & Design Survey Research Institute, Guangzhou 510060, China;
2. College of Urban and Environmental Sciences, Peking University, Beijing 100871, China;
3. School of Architecture and Design, Beijing Jiaotong University, Beijing 100044, China
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.
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.
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2021, Vol. 36 
