How Does Rail Transit Affect the Spatial Differentiation of Urban Residential Prices? A Case Study of Beijing Subway

Rail transit is a significant measure for the comprehensive development of large cities, which influences land use patterns and spatial residential prices around rail. This study considered Beijing Metro Line 10 13 as examples, based on semi-logarithmic hedonic price model, combined with facility point-of-interest (POI) data unit transaction data, to how rail affects differentiation urban prices. Within 2 km area along line, factors such community grade (property fee), living environment (park), convenience (shopping mall) significantly affected Factors influencing in different locations also differed. The within fourth ring (Line 10) were correlated population density (plot ratio) station distance, while outside 13) (greening rate), community-built time (age residence), public transportation conditions. conclusions this are follows: (1) single central city, average inner side line adjacent city center higher than outer side. (2) Neighborhood characteristics affect lines areas, architectural neighborhood have equally important effects suburban lines. (3) Urban lines, areas having lesser value-added effect lower innovation analyze from two location perspectives: pattern city’s own division, add new characteristic variables at distance 200 m. confirms that same not same, it provides policy suggestions strengthening combination Transit-Oriented-Development (TOD) model layout land.