IDEAS home Printed from https://ideas.repec.org/p/wiw/wiwrsa/ersa05p748.html
   My bibliography  Save this paper

Impact of railway station on Dutch residential housing market

Author

Listed:
  • Ghebreegziabiher Debrezion

    ()

  • Eric Pels

    ()

  • Piet Rietveld

    ()

Abstract

In an efficient market, the levels of house prices reflect the values of value of physical, accessibility and environmental features corresponding to the house. The Dutch residential house market though could not be claimed to work under a perfectly efficient market; the prices can be diagnosed to reflect the value of these features. This paper focuses on the value of railway accessibility feature to the residential houses prices. Stations are treated as transport access points with distance and frequency of train services components and potential places for negative externalities. Applying a cross sectional hedonic price model, we found railway stations as identified by frequency of train service has elasticity of close to 0.3 for house up to a distance of 3 kms. Due to the spatial nature of the data we controlled the spatial effects by regional dummies. Proximity to railway line as differing from proximity to station, explaining the noise effect, has negative effect on prices. At the same time the immediate neighbourhood of the station is affected negatively from externality of the station. Highway accessibility on the other hand shows slightly different effect on house prices, in that peak effects occur at 4-5 km from the highway entry/exit point. All other physical and neighbourhood variables as income level and population composition show expected effect on house prices.

Suggested Citation

  • Ghebreegziabiher Debrezion & Eric Pels & Piet Rietveld, 2005. "Impact of railway station on Dutch residential housing market," ERSA conference papers ersa05p748, European Regional Science Association.
  • Handle: RePEc:wiw:wiwrsa:ersa05p748
    as

    Download full text from publisher

    File URL: http://www-sre.wu.ac.at/ersa/ersaconfs/ersa05/papers/748.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Landis, John & Guhathakurta, Subhrajit & Huang, William & Zhang, Ming, 1995. "Rail Transit Investments, Real Estate Values, and Land Use Change: A Comparative Analysis of Five California Rail Transit Systems," University of California Transportation Center, Working Papers qt2hf9s9sr, University of California Transportation Center.
    2. John D. Benjamin & G. Stacy Sirmans, 1996. "Mass Transportation, Apartment Rent and Property Values," Journal of Real Estate Research, American Real Estate Society, vol. 12(1), pages 1-8.
    3. 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.
    4. Voith Richard, 1993. "Changing Capitalization of CBD-Oriented Transportation Systems: Evidence from Philadelphia, 1970-1988," Journal of Urban Economics, Elsevier, vol. 33(3), pages 361-376, May.
    5. McDonald, John F. & Osuji, Clifford I., 1995. "The effect of anticipated transportation improvement on residential land values," Regional Science and Urban Economics, Elsevier, vol. 25(3), pages 261-278, June.
    6. Rosen, Sherwin, 1974. "Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition," Journal of Political Economy, University of Chicago Press, vol. 82(1), pages 34-55, Jan.-Feb..
    7. Bollinger, Christopher R. & Ihlanfeldt, Keith R., 1997. "The Impact of Rapid Rail Transit on Economic Development: The Case of Atlanta's MARTA," Journal of Urban Economics, Elsevier, vol. 42(2), pages 179-204, September.
    8. Richard Voith, 1991. "Transportation, Sorting and House Values," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 19(2), pages 117-137.
    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.
    Full references (including those not matched with items on IDEAS)

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wiw:wiwrsa:ersa05p748. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Gunther Maier). General contact details of provider: http://www.ersa.org .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.