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The Intention to Move and Residential Location Choice Behaviour

Author

Listed:
  • Jae Hong Kim

    (School of Social Science, University of Ulsan, PO Box 18, Ulsan, South Korea, jhkim@ulsan.ac.kr)

  • Francesca Pagliara

    (Department of Transport Engineering, University of Naples Federico . Via Claudio 21. 80125 Navies. Italy, fpagliar@unina.it)

  • John Preston

    (Transport Studies Unit, School of Geography, University of Oxford, 11 Bevington Road, Oxford, OX2 6NB, UK, john.preston @tsu.ox.ac.uk)

Abstract

This paper aims to quantify the extent to which transport and other factors impact on residential decisions using Oxfordshire, UK, as a case study. It investigates the impacts of the current dwelling, household characteristics and alternative properties on the probability of moving. It also highlights the trade-off between access, space and other attributes in residential location choice. Particular emphasis is placed on assessing the impact of transport and location-embedded amenities. A nested logit model is applied to estimate the indirect random utility functions of the intention to move and residential location choice based on stated preference data. The estimation results of the intentions to move model illustrate the impact of housing and household characteristics on the probability of moving. The estimation results of the residential location choice model quantify the trade-offs between transport, amenities and other factors.

Suggested Citation

  • Jae Hong Kim & Francesca Pagliara & John Preston, 2005. "The Intention to Move and Residential Location Choice Behaviour," Urban Studies, Urban Studies Journal Limited, vol. 42(9), pages 1621-1636, August.
  • Handle: RePEc:sae:urbstu:v:42:y:2005:i:9:p:1621-1636
    DOI: 10.1080/00420980500185611
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    References listed on IDEAS

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    Cited by:

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    3. Vincenzo Del Giudice & Pierfrancesco De Paola & Torrieri Francesca & Peter J. Nijkamp & Aviad Shapira, 2019. "Real Estate Investment Choices and Decision Support Systems," Sustainability, MDPI, vol. 11(11), pages 1-18, June.
    4. Kajosaari, Anna & Hasanzadeh, Kamyar & Kyttä, Marketta, 2019. "Residential dissonance and walking for transport," Journal of Transport Geography, Elsevier, vol. 74(C), pages 134-144.
    5. Amarin Siripanich & Taha Hossein Rashidi & Emily Moylan, 2019. "Interaction of Public Transport Accessibility and Residential Property Values Using Smart Card Data," Sustainability, MDPI, vol. 11(9), pages 1-24, May.
    6. Michael Klien, 2016. "Österreich 2025 – Perspektiven einer regional differenzierten Wohnungs- und Verkehrspolitik vor dem Hintergrund des demographischen Wandels in Österreich," WIFO Monatsberichte (monthly reports), WIFO, vol. 89(11), pages 799-808, November.
    7. Kamruzzaman, Md. & Baker, Douglas & Washington, Simon & Turrell, Gavin, 2013. "Residential dissonance and mode choice," Journal of Transport Geography, Elsevier, vol. 33(C), pages 12-28.
    8. Emilie Arnoult & Florent Sari, 2017. "Chosen Or Imposed? The Location Strategies Of Households," TEPP Working Paper 2017-05, TEPP.
    9. Traoré, Sidnoma, 2019. "Residential location choice in a developing country: What matter? A choice experiment application in Burkina Faso," Forest Policy and Economics, Elsevier, vol. 102(C), pages 1-9.
    10. Benassi, Federico & Boeri, Marco & Elezi, Pranvera & Zindato, Donatella, 2016. "The importance of spatial adjustment processes in the labour force: the case of Albania," MPRA Paper 74500, University Library of Munich, Germany.
    11. Lui, Hon-Kwong & Suen, Wing, 2011. "The effects of public housing on internal mobility in Hong Kong," Journal of Housing Economics, Elsevier, vol. 20(1), pages 15-29, March.
    12. Jintao Li & Xin Ning & Jun Sun & Xiaoqian Xiong, 2018. "Simulating the Barriers of Transaction Costs to Public Rental Housing Exits: The Case of Wuhan, China," Sustainability, MDPI, vol. 10(5), pages 1-13, May.
    13. Joséphine Leuba, 2019. "Natural amenities and the spatial distribution of Swiss income," IRENE Working Papers 19-04, IRENE Institute of Economic Research.
    14. Del Giudice, V. & De Paola, P. & Torrieri, F. & Pagliari, F., 2009. "A decision support system for real estate investment choice," Serie Research Memoranda 0010, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    15. Hyunjoo Lee & Misuk Lee & Sesil Lim, 2018. "Do Consumers Care about the Energy Efficiency of Buildings? Understanding Residential Choice Based on Energy Performance Certificates," Sustainability, MDPI, vol. 10(11), pages 1-18, November.
    16. Samuel ETTOUATI, 2018. "Les migrations résidentielles des retraités au sein de la région Provence-Alpes-Côte d’Azur," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 48, pages 71-84.
    17. Elif Alkay, 2011. "In Depth Analysis of the Home to Work Travel Pattern in the Istanbul Metropolitan Area," ERSA conference papers ersa11p371, European Regional Science Association.
    18. Elzir Assy, Angela & Ribeiro, Tiago & Robalino, David A. & Rosati, Furio C. & Sanchez Puerta, Maria Laura & Weber, Michael, 2019. "The Jobs That Youth Want and the Support They Need to Get Them: Evidence from a Discrete Choice Experiment in Kenya," IZA Discussion Papers 12864, Institute of Labor Economics (IZA).
    19. 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.
    20. Sener, Ipek N. & Pendyala, Ram M. & Bhat, Chandra R., 2011. "Accommodating spatial correlation across choice alternatives in discrete choice models: an application to modeling residential location choice behavior," Journal of Transport Geography, Elsevier, vol. 19(2), pages 294-303.

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