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The Impact of Subway Lines on Residential Property Values in Tianjin: An Empirical Study Based on Hedonic Pricing Model

Author

Listed:
  • Hui Sun
  • Yuning Wang
  • Qingbo Li

Abstract

The construction of subways has an external impact on the urban environment. Among them, the most important acceleration function lies in the property values of housing near subway stations. Tianjin, the largest open coastal city in Northern China, is selected as the subject of the research in this paper by virtue of its unique background. The Hedonic Pricing Model is used in analysing the change in the value of the properties located within 1,000 metres of completed subway line 3 stations. Using the theories of land rent and land location, and a model of the impact of urban traffic on the surrounding real estate prices, we analyse the sphere of influence of Tianjin Metro Line 3 on real estate prices. Finally, the paper stresses the importance of urban construction and subway building and finds that different development strategies should be used according to the characteristics of the subway in various regions of the city.

Suggested Citation

  • Hui Sun & Yuning Wang & Qingbo Li, 2016. "The Impact of Subway Lines on Residential Property Values in Tianjin: An Empirical Study Based on Hedonic Pricing Model," Discrete Dynamics in Nature and Society, John Wiley & Sons, vol. 2016(1).
    • Handle: RePEc:wly:jnddns:v:2016:y:2016:i:1:n:1478413
    DOI: 10.1155/2016/1478413
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    References listed on IDEAS

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    1. Linneman, Peter, 1980. "Some empirical results on the nature of the hedonic price function for the urban housing market," Journal of Urban Economics, Elsevier, vol. 8(1), pages 47-68, July.
    2. Robert Armstrong & Daniel Rodríguez, 2006. "An Evaluation of the Accessibility Benefits of Commuter Rail in Eastern Massachusetts using Spatial Hedonic Price Functions," Transportation, Springer, vol. 33(1), pages 21-43, January.
    3. Dean H. Gatzlaff & Marc T. Smith, 1993. "The Impact of the Miami Metrorail on the Value of Residences near Station Locations," Land Economics, University of Wisconsin Press, vol. 69(1), pages 54-66.
    4. Cheshire, Paul & Sheppard, Stephen, 1998. "Estimating the Demand for Housing, Land, and Neighbourhood Characteristics," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 60(3), pages 357-382, August.
    5. Luis Briceño & Roberto Cominetti & Cristián Cortés & Francisco Martínez, 2008. "An Integrated Behavioral Model of Land Use and Transport System: A Hyper-network Equilibrium Approach," Networks and Spatial Economics, Springer, vol. 8(2), pages 201-224, September.
    6. Cervero, Robert & Kang, Chang Deok, 2011. "Bus rapid transit impacts on land uses and land values in Seoul, Korea," Transport Policy, Elsevier, vol. 18(1), pages 102-116, January.
    7. Bowes, David R. & Ihlanfeldt, Keith R., 2001. "Identifying the Impacts of Rail Transit Stations on Residential Property Values," Journal of Urban Economics, Elsevier, vol. 50(1), pages 1-25, July.
    8. Allen, W. Bruce, 1987. "Value Capture in Transit," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 28(01).
    9. Dewees, D. N., 1976. "The effect of a subway on residential property values in Toronto," Journal of Urban Economics, Elsevier, vol. 3(4), pages 357-369, October.
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