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Group-Based versus Individual-Based Conjoint Preference Models of Residential Preferences: A Comparative Test

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  • E Molin
  • H Oppewal
  • H Timmermans

Abstract

The conjoint preference approach, measuring individual preferences, has a long history in the study of residential decisionmaking processes. Residential choice behaviour, however, is often the result of a group decisionmaking process. In this paper we investigate whether conjoint preference models derived from group responses are different from and predict better than conventional conjoint models derived from the responses of individuals who do not interact during the data-collection process. In particular, we propose a new approach to modelling group preferences for residential choice alternatives that extends previous work of Timmermans et al. The new approach is illustrated in an application among 193 families with children. The results confirm that preference structures of individual family members differ from group preference structures and that the proposed group-based model predicts family preferences for new residential environments better than do conventional models.

Suggested Citation

  • E Molin & H Oppewal & H Timmermans, 1999. "Group-Based versus Individual-Based Conjoint Preference Models of Residential Preferences: A Comparative Test," Environment and Planning A, , vol. 31(11), pages 1935-1947, November.
    • Handle: RePEc:sae:envira:v:31:y:1999:i:11:p:1935-1947
    DOI: 10.1068/a311935
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    1. H Timmermans & A Borgers & J van Dijk & H Oppewal, 1992. "Residential Choice Behaviour of Dual Earner Households: A Decompositional Joint Choice Model," Environment and Planning A, , vol. 24(4), pages 517-533, April.
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    Cited by:

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    2. Eric J E Molin & Harry J P Timmermans, 2003. "Testing Hierarchical Information Integration Theory: The Causal Structure of Household Residential Satisfaction," Environment and Planning A, , vol. 35(1), pages 43-58, January.
    3. Yan, Qianqian & Feng, Tao & Timmermans, Harry, 2023. "A model of household shared parking decisions incorporating equity-seeking household dynamics and leadership personality traits," Transportation Research Part A: Policy and Practice, Elsevier, vol. 169(C).
    4. De Vos, Jonas & Derudder, Ben & Van Acker, Veronique & Witlox, Frank, 2012. "Reducing car use: changing attitudes or relocating? The influence of residential dissonance on travel behavior," Journal of Transport Geography, Elsevier, vol. 22(C), pages 1-9.
    5. Tim Schwanen & Patricia L Mokhtarian, 2004. "The Extent and Determinants of Dissonance between Actual and Preferred Residential Neighborhood Type," Environment and Planning B, , vol. 31(5), pages 759-784, October.
    6. Kirill Rozhkov, 2013. "Beneficiaries of a place: whose life is better?," HSE Working papers WP BRP 05/MAN/2013, National Research University Higher School of Economics.
    7. Stefanie Lena Heinzle & Augustin Boey Ying Yip & Melissa Low Yu Xing, 2013. "The Influence of Green Building Certification Schemes on Real Estate Investor Behaviour: Evidence from Singapore," Urban Studies, Urban Studies Journal Limited, vol. 50(10), pages 1970-1987, August.
    8. Pot, Felix Johan & Koster, Sierdjan & Tillema, Taede, 2023. "Perceived accessibility and residential self-selection in the Netherlands," Journal of Transport Geography, Elsevier, vol. 108(C).
    9. Arentze, Theo A., 2015. "Individuals' social preferences in joint activity location choice: A negotiation model and empirical evidence," Journal of Transport Geography, Elsevier, vol. 48(C), pages 76-84.
    10. Lin, Tao & Wang, Donggen & Guan, Xiaodong, 2017. "The built environment, travel attitude, and travel behavior: Residential self-selection or residential determination?," Journal of Transport Geography, Elsevier, vol. 65(C), pages 111-122.
    11. Chinh Ho & Corinne Mulley, 2015. "Intra-household interactions in transport research: a review," Transport Reviews, Taylor & Francis Journals, vol. 35(1), pages 33-55, January.
    12. Diana Mok, 2007. "Do Two-earner Households Base Their Choice of Residential Location on Both Incomes?," Urban Studies, Urban Studies Journal Limited, vol. 44(4), pages 723-750, April.
    13. Tadao Hoshino, 2011. "Estimation and Analysis of Preference Heterogeneity in Residential Choice Behaviour," Urban Studies, Urban Studies Journal Limited, vol. 48(2), pages 363-382, February.
    14. Beck, Matthew J. & Hess, Stephane, 2016. "Willingness to accept longer commutes for better salaries: Understanding the differences within and between couples," Transportation Research Part A: Policy and Practice, Elsevier, vol. 91(C), pages 1-16.
    15. Pot, Felix Johan & van Wee, Bert & Tillema, Taede, 2021. "Perceived accessibility: What it is and why it differs from calculated accessibility measures based on spatial data," Journal of Transport Geography, Elsevier, vol. 94(C).
    16. Rodríguez, Daniel A. & Levine, Jonathan & Agrawal, Asha Weinstein & Song, Jumin, 2011. "Can information promote transportation-friendly location decisions? A simulation experiment," Journal of Transport Geography, Elsevier, vol. 19(2), pages 304-312.
    17. Edoardo Marcucci & Amanda Stathopoulos & Lucia Rotaris & Romeo Danielis, 2011. "Comparing Single and Joint Preferences: A Choice Experiment on Residential Location in Three-Member Households," Environment and Planning A, , vol. 43(5), pages 1209-1225, May.
    18. Biancamaria Torquati & Giulia Giacchè & Tiziano Tempesta, 2020. "Landscapes and Services in Peri-Urban Areas and Choice of Housing Location: An Application of Discrete Choice Experiments," Land, MDPI, vol. 9(10), pages 1-21, October.
    19. Daniel A Rodriguez & Jennifer Rogers, 2014. "Can Housing and Accessibility Information Influence Residential Location Choice and Travel Behavior? An Experimental Study," Environment and Planning B, , vol. 41(3), pages 534-550, June.
    20. Irwin, Elena G. & Roe, Brian E. & Morrow-Jones, Hazel, 2002. "The Effects Of Farmland, Farmland Preservation And Other Neighborhood Amenities On Proximate Housing Values: Results Of A Conjoint Analysis Of Housing Choice," 2002 Annual meeting, July 28-31, Long Beach, CA 19611, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

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