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

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  • 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
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    File URL: https://www-sre.wu.ac.at/ersa/ersaconfs/ersa05/papers/626.pdf
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    References listed on IDEAS

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    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. Ugo Colombino & Marilena Locatelli, 2004. "Modelling Household Choices Of Dwelling And Local Public," Public Economics 0406005, University Library of Munich, Germany.
    5. Daniel McFadden, 1977. "Modelling the Choice of Residential Location," Cowles Foundation Discussion Papers 477, Cowles Foundation for Research in Economics, Yale University.
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    1. 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.
    2. 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.
    3. 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.
    4. 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).
    5. 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.
    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.

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