IDEAS home Printed from https://ideas.repec.org/p/wiw/wiwrsa/ersa05p626.html
   My bibliography  Save this paper

The impact of accessibility on residential choice - empirical results of a discrete choice model

Author

Listed:
  • Berry Blijie

Abstract

Transport in general, and accessibility of people, jobs and services in particular, is assumed to have an important impact on the residential choice behavior of households. After all, the amount of activities that can be deployed by the household members, whether labor, leisure or socially correlated, is determined by the accessibility of a location. The past decades, residential location choice of households has been subject of study of many researches. Nevertheless, the relation between accessibility and residential choice has shown to be hard to verify empirically. Such (empirical) knowledge, however, can help address many of the problems that urban regions are facing nowadays, like the (re-) location of residential areas and jobs, the planning of new infrastructure and predicting the amount of traffic generated by commuting and leisure activities. The first part of this paper gives an overview of the literature on residential choice behavior, with an emphasis on research that studied the relation with accessibility. Next, the results of a discrete choice model for the residential choice behavior of households will be presented. The model is estimated on the National Housing Survey, in which over 75 thousand Dutch households were inquired on their current and previous housing situation. Different aspects of the residential choice decision are incorporated in the model, like the dwelling type, the location of the dwelling and the characteristics of the household, all in relation with the influence of accessibility. The results show that individual accessibility measures, like migration distance, commuting distance and access to public transport for households without a car, have more impact than the often used general measures like the amount of jobs within 30 minutes travel time, which is apparently the same for all inhabitants in a region.

Suggested Citation

  • Berry Blijie, 2005. "The impact of accessibility on residential choice - empirical results of a discrete choice model," ERSA conference papers ersa05p626, European Regional Science Association.
    • Handle: RePEc:wiw:wiwrsa:ersa05p626
    as

    Download full text from publisher

    File URL: https://www-sre.wu.ac.at/ersa/ersaconfs/ersa05/papers/626.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Piyush Tiwari, 2000. "Housing Demand in Tokyo," International Real Estate Review, Global Social Science Institute, vol. 3(1), pages 65-92.
    2. van Ommeren, Jos & Rietveld, Piet & Nijkamp, Peter, 1997. "Commuting: In Search of Jobs and Residences," Journal of Urban Economics, Elsevier, vol. 42(3), pages 402-421, November.
    3. Quigley, John M., 1985. "Consumer choice of dwelling, neighborhood and public services," Regional Science and Urban Economics, Elsevier, vol. 15(1), pages 41-63, February.
    4. Daniel McFadden, 1977. "Modelling the Choice of Residential Location," Cowles Foundation Discussion Papers 477, Cowles Foundation for Research in Economics, Yale University.
    5. Ugo Colombino & Marilena Locatelli, 2004. "Modelling Household Choices Of Dwelling And Local Public," Public Economics 0406005, University Library of Munich, Germany.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Maria Teresa Borzacchiello & Peter Nijkamp & Eric Koomen, 2010. "Accessibility and Urban Development: A Grid-Based Comparative Statistical Analysis of Dutch Cities," Environment and Planning B, , vol. 37(1), pages 148-169, February.
    2. Ioannis Baraklianos & Louafi Bouzouina & Patrick Bonnel & Hind Aissaoui, 2020. "Does the accessibility measure influence the results of residential location choice modelling?," Transportation, Springer, vol. 47(3), pages 1147-1176, June.
    3. Houshmand Masoumi, 2021. "Residential Location Choice in Istanbul, Tehran, and Cairo: The Importance of Commuting to Work," Sustainability, MDPI, vol. 13(10), pages 1-18, May.
    4. Brian H Y Lee & Paul Waddell & Liming Wang & Ram M Pendyala, 2010. "Reexamining the Influence of Work and Nonwork Accessibility on Residential Location Choices with a Microanalytic Framework," Environment and Planning A, , vol. 42(4), pages 913-930, April.
    5. Bjørnson Lunke, Erik, 2023. "Accessibility in a multi-ethnic city: Residential trade-offs among first-time parents," Journal of Transport Geography, Elsevier, vol. 107(C).
    6. Petra Visser & Frank Van Dam & Pieter Hooimeijer, 2008. "Residential Environment And Spatial Variation In House Prices In The Netherlands," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 99(3), pages 348-360, July.
    7. Prashker, Joseph & Shiftan, Yoram & Hershkovitch-Sarusi, Pazit, 2008. "Residential choice location, gender and the commute trip to work in Tel Aviv," Journal of Transport Geography, Elsevier, vol. 16(5), pages 332-341.
    8. Elgar, Ilan & Farooq, Bilal & Miller, Eric J., 2015. "Simulations of firm location decisions: Replicating office location choices in the Greater Toronto Area," Journal of choice modelling, Elsevier, vol. 17(C), pages 39-51.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Patrick Bayer & Fernando Ferreira & Robert McMillan, 2007. "A Unified Framework for Measuring Preferences for Schools and Neighborhoods," Journal of Political Economy, University of Chicago Press, vol. 115(4), pages 588-638, August.
    2. Ioannides, Yannis M. & Zabel, Jeffrey E., 2008. "Interactions, neighborhood selection and housing demand," Journal of Urban Economics, Elsevier, vol. 63(1), pages 229-252, January.
    3. Deng, Yongheng & Ross, Stephen L. & Wachter, Susan M., 2003. "Racial differences in homeownership: the effect of residential location," Regional Science and Urban Economics, Elsevier, vol. 33(5), pages 517-556, September.
    4. Dahlberg, Matz & Eklöf, Matias, 2003. "Relaxing the IIA Assumption in Locational Choice Models: A Comparison Between Conditional Logit, Mixed Logit, and Multinomial Probit Models," Working Paper Series 2003:9, Uppsala University, Department of Economics.
    5. Ugo Colombino & Marilena Locatelli, 2004. "Modelling Household Choices Of Dwelling And Local Public," Public Economics 0406005, University Library of Munich, Germany.
    6. Mayer, T. & Mejean, I. & Nefussi, B., 2010. "The location of domestic and foreign production affiliates by French multinational firms," Journal of Urban Economics, Elsevier, vol. 68(2), pages 115-128, September.
    7. Frey, Rainer & Hussinger, Katrin, 2006. "The role of technology in M&As: a firm-level comparison of cross-border and domestic deals," Discussion Paper Series 1: Economic Studies 2006,45, Deutsche Bundesbank.
    8. Berger, Allen N. & Dai, Qinglei & Ongena, Steven & Smith, David C., 2003. "To what extent will the banking industry be globalized? A study of bank nationality and reach in 20 European nations," Journal of Banking & Finance, Elsevier, vol. 27(3), pages 383-415, March.
    9. Nevo, Aviv, 2001. "Measuring Market Power in the Ready-to-Eat Cereal Industry," Econometrica, Econometric Society, vol. 69(2), pages 307-342, March.
    10. Turansick, Christopher, 2022. "Identification in the random utility model," Journal of Economic Theory, Elsevier, vol. 203(C).
    11. Seck, Abdoulaye & Thiam, Djiby Racine, 2022. "Understanding consumer attitudes to and valuation of organic food in Sub-Saharan Africa: A double-bound contingent method applied in Dakar, Senegal," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 17(1), March.
    12. Clark, William A. V. & Huang, Youqin & Withers, Suzanne, 2003. "Does commuting distance matter?: Commuting tolerance and residential change," Regional Science and Urban Economics, Elsevier, vol. 33(2), pages 199-221, March.
    13. Matilde P. Machado & Ricardo Mora & Antonio Romero-Medina, 2012. "Can We Infer Hospital Quality From Medical Graduates’ Residency Choices?," Journal of the European Economic Association, European Economic Association, vol. 10(6), pages 1400-1424, December.
    14. Banzhaf, H. Spencer, 2002. "Quality Adjustment for Spatially-Delineated Public Goods: Theory and Application to Cost-of-Living Indices in Los Angeles," RFF Working Paper Series dp-02-10-, Resources for the Future.
    15. Christopher Ksoll, 2007. "Family Networks and Orphan Caretaking in Tanzania," Economics Series Working Papers 361, University of Oxford, Department of Economics.
    16. Wasmer, Etienne & Zenou, Yves, 2002. "Does City Structure Affect Job Search and Welfare?," Journal of Urban Economics, Elsevier, vol. 51(3), pages 515-541, May.
    17. Philip A. Haile & Ali Hortaçsu & Grigory Kosenok, 2008. "On the Empirical Content of Quantal Response Equilibrium," American Economic Review, American Economic Association, vol. 98(1), pages 180-200, March.
    18. Peter Berck & Sofia Tano & Olle Westerlund, 2016. "Regional Sorting of Human Capital: The Choice of Location among Young Adults in Sweden," Regional Studies, Taylor & Francis Journals, vol. 50(5), pages 757-770, May.
    19. Cronqvist, Henrik & Nilsson, Mattias, 2005. "The choice between rights offerings and private equity placements," Journal of Financial Economics, Elsevier, vol. 78(2), pages 375-407, November.
    20. Andre De Palma & Fay Dunkerley & Stef Proost, 2010. "Trip Chaining: Who Wins Who Loses?," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 19(1), pages 223-258, March.

    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:ersa05p626. See general information about how to correct material in RePEc.

    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 bibliographic 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.

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

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.