2014Applied Mechanics and MaterialsRequires access

Study on the Affecting Factors of Housing Prices along Rail Transit Based on Hedonic Price Model - Case Study of Beijing Subway Line 5

Jun Wei, Yu Wei, Kun Jiang

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Abstract

In order to study the major affecting factors of commercial housing prices along rail transit lines, the paper chooses samples of commercial housing prices along the Beijing Subway Line 5, and uses 11 elements of location, structure and neighborhood factors as independent variables and housing prices as dependent variable to construct the housing hedonic price model. Make regression analysis by using SPSS software, and come to three major affecting factors and their influence degree which are distance from the nearest subway station, whether there is a hospital nearby and distance from CBD. In the planning and construction of rail transit, the coordination and convergence of subway stations, commercial housing and hospitals should be a serious consideration to improve the driving effect of rail transit on real estate.

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What this paper is about

In order to study the major affecting factors of commercial housing prices along rail transit lines, the paper chooses samples of commercial housing prices along the Beijing Subway Line 5, and uses 11 elements of location, structure and neighborhood factors as independent variables and housing prices as dependent variable to construct the housing hedonic price model. Make regression analysis by using SPSS software, and come to three major affecting factors and their influence degree which are distance from the nearest subway station, whether there is a hospital nearby and distance from CBD. In the planning and construction of rail transit, the coordination and convergence of subway stations, commercial housing and hospitals should be a serious consideration to improve the driving effect of rail transit on real estate.

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Available abstract

In order to study the major affecting factors of commercial housing prices along rail transit lines, the paper chooses samples of commercial housing prices along the Beijing Subway Line 5, and uses 11 elements of location, structure and neighborhood factors as independent variables and housing prices as dependent variable to construct the housing hedonic price model. Make regression analysis by using SPSS software, and come to three major affecting factors and their influence degree which are distance from the nearest subway station, whether there is a hospital nearby and distance from CBD. In the planning and construction of rail transit, the coordination and convergence of subway stations, commercial housing and hospitals should be a serious consideration to improve the driving effect of rail transit on real estate.

Key concepts: Beijing, Transport engineering, Urban rail transit, Rail transit, Real estate, Transit (satellite), Hedonic pricing, Order (exchange)

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