Acta Geographica Sinica ›› 2016, Vol. 71 ›› Issue (10): 1731-1740.doi: 10.11821/dlxb201610006

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Modeling urban housing price: The perspective of household activity demand

NIU Fangqu1, LIU Weidong1, FENG Jianxi2()   

  1. 1. Key Laboratory of Regional Sustainable Development Modelling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
    2. School of Architecture and Urban Planning, Nanjing University, Nanjing 210093, China
  • Received:2015-12-22 Revised:2016-05-09 Online:2016-11-28 Published:2016-11-28


Existing studies on the heterogeneities and determinants of urban housing price have put overwhelming emphasis on the 'location theory', which is generally descriptive rather than modeling in nature. More research which can systematically explore the spatial heterogeneities of urban housing price is needed. Given that housing price is, to some extent, the reflection of household activity demand, the paper therefore attempts to model urban housing price from this perspective on the basis of urban transport-land use interaction model. Taking Beijing as an empirical case, this research first develops a new measurement of accessibility which can directly depict the cost and possibilities to access opportunities of different activities such as employments, educational, shopping and medical services. According to the composition of different households and their different demands for activities, the paper then analyzes the relations between urban housing price and these demands. The empirical results demonstrate that the spatial pattern of housing price can be relatively well represented by the regression model. Among the four kinds of accessibilities, employment accessibility is found to be the most profound factor influencing housing price, while the next is followed by shopping, education accessibility. Medical service accessibility demonstrates the least influences on housing price. The approach and method proposed in this paper can well demonstrate how the distributions of different activities influence the spatial pattern of urban housing price and therefore have the potential to simulate the results of various urban land use policies, such as 'Decentralization Policies'. Finally, the policy implications of the model are discussed at the end of the paper.

Key words: modeling, accessibility, housing price, household, activity, travel