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Modelling hedonic residential rents for land use and transport simulation while considering spatial effects

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  • Löchl, Michael

    () (IVT, ETH Zürich; Switzerland)

  • Axhausen, Kay W.

    (ETH Zürich; Switzerland)

Abstract

The application of UrbanSim requires land or real estate price data for the study area. These can be difficult to obtain, particularly when tax assessor data and data from commercial sources are unavailable. The article discusses an alternative method of data acquisition and applies hedonic modeling techniques in order to generate the required data. Many studies have highlighted that ordinary least square (OLS) regression approaches lack the ability to consider spatial dependency and spatial heterogeneity, consequently leading to biased and inefficient estimations. Therefore, a comprehensive data set is used for modeling residential asking rents by applying and comparing OLS, spatial autoregressive, and geographically weighted regression (GWR) techniques. The latter technique performed best with regard to model fit, but the issue of correlated coefficients favored a spatial simultaneous autoregressive model. Overall, the article reveals that when housing markets are a particular concern in UrbanSim applications, significant efforts are needed for the price data generation and modeling. The study concludes with further development potentials for UrbanSim.

Suggested Citation

  • Löchl, Michael & Axhausen, Kay W., 2010. "Modelling hedonic residential rents for land use and transport simulation while considering spatial effects," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 3(2), pages 39-63.
  • Handle: RePEc:ris:jtralu:0030
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    Citations

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    Cited by:

    1. Nathalie Picard & Constantinos Antoniou, 2011. "Econometric guidance for developing UrbanSim models. First lessons from the SustainCity project," ERSA conference papers ersa11p1494, European Regional Science Association.
    2. Macfarlane, Gregory S. & Garrow, Laurie A. & Moreno-Cruz, Juan, 2015. "Do Atlanta residents value MARTA? Selecting an autoregressive model to recover willingness to pay," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 214-230.
    3. Bala, Alain Pholo & Peeters, Dominique & Thomas, Isabelle, 2014. "Spatial issues on a hedonic estimation of rents in Brussels," Journal of Housing Economics, Elsevier, vol. 25(C), pages 104-123.
    4. Levinson, David, 2011. "Introduction," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 4(1), pages 1-3.
    5. Felsenstein, Daniel & Axhausen, Kay & Waddell, Paul, 2010. "Land use-transportation modeling with UrbanSim: Experiences and progress," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 3(2), pages 1-3.
    6. Marko Kryvobokov, 2015. "A two-level regional approach to residential location choice model," Letters in Spatial and Resource Sciences, Springer, vol. 8(2), pages 181-196, July.
    7. Nathalie Picard & Constantinos Antoniou, 2014. "Econometric Methods For Land Use Microsimulation," Working Papers hal-01092031, HAL.
    8. Marko Kryvobokov & Aurélie Mercier & Alain Bonnafous & Dominique Bouf, 2013. "Simulating housing prices with UrbanSim: predictive capacity and sensitivity analysis," Letters in Spatial and Resource Sciences, Springer, vol. 6(1), pages 31-44, March.
    9. Mitra, Suman K. & Saphores, Jean-Daniel M., 2016. "The value of transportation accessibility in a least developed country city – The case of Rajshahi City, Bangladesh," Transportation Research Part A: Policy and Practice, Elsevier, vol. 89(C), pages 184-200.
    10. Efthymiou, D. & Antoniou, C., 2013. "How do transport infrastructure and policies affect house prices and rents? Evidence from Athens, Greece," Transportation Research Part A: Policy and Practice, Elsevier, vol. 52(C), pages 1-22.
    11. Sebastian Brandt & Wolfgang Maennig, 2012. "The impact of rail access on condominium prices in Hamburg," Transportation, Springer, vol. 39(5), pages 997-1017, September.
    12. McIntosh, James & Trubka, Roman & Newman, Peter, 2014. "Can value capture work in a car dependent city? Willingness to pay for transit access in Perth, Western Australia," Transportation Research Part A: Policy and Practice, Elsevier, vol. 67(C), pages 320-339.
    13. Schirmer, Patrick & van Eggermond, Michael & Axhausen, Kay, 2014. "The role of location in residential location choice models: a review of literature," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 7(2), pages 3-21.

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    JEL classification:

    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General

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