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Housing Market Segmentation: A Review

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  • Kazi Saiful Islam
  • Yasushi Asami

Abstract

The definitions and methods of housing market segmentation depend on the use to which they are put. Typically, they are used for price prediction, formulation of appropriate marketing strategy and for understanding housing market structure. From simple observation†based methods to modern complicated spatial statistics†based automations, research on housing market segmentation has developed over many phases in the last six decades. This paper explores the diversification of the definitions, methods and findings of the research into housing market segmentation to identify future research direction.

Suggested Citation

  • Kazi Saiful Islam & Yasushi Asami, 2009. "Housing Market Segmentation: A Review," Review of Urban & Regional Development Studies, Wiley Blackwell, vol. 21(2†3), pages 93-109, July.
  • Handle: RePEc:bla:revurb:v:21:y:2009:i:2-3:p:93-109
    DOI: 10.1111/j.1467-940X.2009.00161.x
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    File URL: https://doi.org/10.1111/j.1467-940X.2009.00161.x
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    Cited by:

    1. Yuan, Feng & Wu, Jiawei & Wei, Yehua Dennis & Wang, Lei, 2018. "Policy change, amenity, and spatiotemporal dynamics of housing prices in Nanjing, China," Land Use Policy, Elsevier, vol. 75(C), pages 225-236.
    2. Martin Schneider & Johannes Stroebel & Monika Piazzesi, 2012. "Segmented Housing Search," 2012 Meeting Papers 670, Society for Economic Dynamics.
    3. Marco Locurcio & Pierluigi Morano & Francesco Tajani & Felicia Di Liddo, 2020. "An Innovative GIS-Based Territorial Information Tool for the Evaluation of Corporate Properties: An Application to the Italian Context," Sustainability, MDPI, Open Access Journal, vol. 12(14), pages 1-28, July.
    4. Gjestland, Arnstein & McArthur, David Philip & Osland, Liv & Thorsen, Inge, 2014. "The suitability of hedonic models for cost-benefit analysis: Evidence from commuting flows," Transportation Research Part A: Policy and Practice, Elsevier, vol. 61(C), pages 136-151.
    5. Wonseok Seo & LeeYoung Kim, 2020. "Investigating the Ripple Effect through the Relationship between Housing Markets and Residential Migration in Seoul, South Korea," Sustainability, MDPI, Open Access Journal, vol. 12(3), pages 1-22, February.
    6. Pierluigi Morano & Paolo Rosato & Francesco Tajani & Benedetto Manganelli & Felicia Di Liddo, 2019. "Contextualized Property Market Models vs. Generalized Mass Appraisals: An Innovative Approach," Sustainability, MDPI, Open Access Journal, vol. 11(18), pages 1-28, September.
    7. Arnstein Gjestland & David McArthur & Liv Osland & Inge Thorsen, 2011. "Alternative methods for quantifying commuting-related benefits of new transport infrastructure," ERSA conference papers ersa11p1223, European Regional Science Association.
    8. Xiaoqi Zhang & Yanqiao Zheng & Lei Sun & Qiwen Dai, 2019. "Urban Structure, Subway Systemand Housing Price: Evidence from Beijing and Hangzhou, China," Sustainability, MDPI, Open Access Journal, vol. 11(3), pages 1-23, January.

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