1. bookVolumen 30 (2022): Edición 2 (June 2022)
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eISSN
2300-5289
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16 May 2013
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4 veces al año
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access type Acceso abierto

Identifying Housing Submarkets in Johor Bahru and Kulai, Malaysia: A Data-Driven Method

Publicado en línea: 18 Jun 2022
Volumen & Edición: Volumen 30 (2022) - Edición 2 (June 2022)
Páginas: 1 - 11
Detalles de la revista
License
Formato
Revista
eISSN
2300-5289
Primera edición
16 May 2013
Calendario de la edición
4 veces al año
Idiomas
Inglés
Abstract

Generally, housing within the same area tends to share similar structural and locational characteristics as well as being characterized by the same homebuyers’ preferences. This information provides insight on the existence of housing submarkets. Thus, this study aims to identify the existence of housing submarkets in Johor Bahru and Kulai, Malaysia through principal component analysis and cluster analysis. A total of 29 housing attributes were included in the study. The results from the principal component analysis have successfully identified four principal components that represent the basic facility, main infrastructure, less common facility and housing quality characteristics. On the other hand, cluster analysis managed to identify the existence of four housing submarkets in Johor Bahru and Kulai, where three submarkets showed the characteristics of housing quality, whereas one submarket appeared to exhibit the characteristic of main infrastructure. The findings of this study provide valuable information on the existence of four housing submarkets in Johor Bahru and Kulai areas, which will benefit the city governments, real estate developers, mortgage lenders, non-profit organizations, as well as individual homeowners in making critical choices and developing market-appropriate strategies.

Keywords

JEL Classification

Alas, B. (2020). A multilevel analysis of housing submarkets defined by the municipal boundaries and by the street connections in the metropolitan area: Istanbul. Journal of Housing and the Built Environment, 35, 1201–1217. https://doi.org/10.1007/s10901-020-09735-7 Search in Google Scholar

Antonenko, P. D., Toy, S., & Niederhauser, D. S. (2012). Using cluster analysis for data mining in educational technology research. Educational Technology Research and Development, 60(3), 383–398. https://doi.org/10.1007/s11423-012-9235-8 Search in Google Scholar

Bangura, M., & Lee, C. L. (2020). House price diffusion of housing submarkets in Greater Sydney. Housing Studies, 35(6), 1110–1141. https://doi.org/10.1080/02673037.2019.1648772 Search in Google Scholar

Bourassa, S. C., Cantoni, E., & Hoesli, M. (2007). Spatial dependence, housing submarkets, and house price prediction. The Journal of Real Estate Finance and Economics, 35, 143–160. https://doi.org/10.1007/s11146-007-9036-8 Search in Google Scholar

Bourassa, S. C., Hoesli, M., & Peng, V. S. (2003). Do housing submarkets really matters? Journal of Housing Economics, 12(1), 12–28. https://doi.org/10.1016/S1051-1377(03)00003-2 Search in Google Scholar

Cox, T., & Hurtubia, R. (2020). Subdividing the sprawl: Endogenous segmentation of housing submarkets in expansion areas of Santiago, Chile. Environment and Planning. B, Urban Analytics and City Science, 29, 355. Search in Google Scholar

Ebeling, B., Vargas, C., & Hubo, S. (2013). Combined cluster analysis and principal component analysis to reduce data complexity for exhaust air purification. The Open Food Science Journal, 7(1), 8–22. https://doi.org/10.2174/1874256401307010008 Search in Google Scholar

Gavu, E. K., & Owusu-Ansah, A. (2019). Empirical analysis of residential submarket conceptualisation in Ghana. International Journal of Housing Markets and Analysis, 12(4), 763–787. https://doi.org/10.1108/IJHMA-10-2018-0080 Search in Google Scholar

Goodman, A. C., & Thibodeau, T. G. (2007). The spatial proximity of metropolitan area housing submarkets. Real Estate Economics, 35(2), 209–232. https://doi.org/10.1111/j.1540-6229.2007.00188.x Search in Google Scholar

Helbich, M., Brunauer, W., Hagenauer, J., & Leitner, M. (2013). Data-driven regionalization of housing markets. Annals of the Association of American Geographers, 103(4), 871–889. https://doi.org/10.1080/00045608.2012.707587 Search in Google Scholar

Hwang, S. (2015). Residential segregation, housing submarkets and spatial analysis: St. Louis and Cincinnati as a case study. Housing Policy Debate, 25(1), 91–115. https://doi.org/10.1080/10511482.2014.934703 Search in Google Scholar

Hwang, S., & Thill, J. (2009). Delineating urban housing submarkets with fuzzy clustering. Environment and Planning. B, Planning & Design, 36(5), 865–882. https://doi.org/10.1068/b34111t Search in Google Scholar

Keskin, B., & Watkins, C. (2017). Defining spatial housing submarkets: Exploring the case for expert delineated boundaries. Urban Studies (Edinburgh, Scotland), 54(6), 1446–1462. https://doi.org/10.1177/0042098015620351 Search in Google Scholar

Kopczewska, K., Cwiakowski P. 2021. Spatio-temporal stability of housing submarkets. Tracking spatial location of clusters of geographically weighted regression estimates of price determinants. Land Use Policy, vol. 103(2), pp. 1-18. Search in Google Scholar

Leishman, C., Costello, G., Rowley, S., & Watkins, C. (2013). The predictive performance of multilevel models of housing sub-markets: A comparative analysis. Urban Studies (Edinburgh, Scotland), 50(6), 1201–1220. https://doi.org/10.1177/0042098012466603 Search in Google Scholar

Ligus, M., Peternek, P. 2017. Impacts of urban environmental attributes on residential housing prices in Warsaw (Poland): Spatial hedonic analysis of city districts. Procedia - Social and Behavioral Sciences I, 220(251), 155-164. Search in Google Scholar

Lu, W. Z., He, H. D., & Dong, L. (2011). Performance assessment of air quality monitoring networks using principal component analysis and cluster analysis. Building and Environment, 46(3), 577–583. https://doi.org/10.1016/j.buildenv.2010.09.004 Search in Google Scholar

Saenz, V. B., Hatch, D., Bukoski, B. E., Kim, S., Lee, K., & Valdez, P. (2011). Community college student engagement patterns. Community College Review, 39(3), 235–267. https://doi.org/10.1177/0091552111416643 Search in Google Scholar

Song, Y., & Quercia, R. G. (2008). How are neighbourhood design features valued across different neighbourhood types? Journal of Housing and the Built Environment, 23(4), 297–316. https://doi.org/10.1007/s10901-008-9122-0 Search in Google Scholar

Watkins, C. A. (2001). The definition and identification of housing submarkets. Environment & Planning A, 33(12), 2235–2253. https://doi.org/10.1068/a34162 Search in Google Scholar

Wu, C., & Sharma, R. (2012). Housing submarket classification: The role of spatial contiguity. Applied Geography (Sevenoaks, England), 32(2), 746–756. https://doi.org/10.1016/j.apgeog.2011.08.011 Search in Google Scholar

Wu, Y., Wei, Y. D., & Li, H. (2020). Analyzing spatial heterogeneity of housing prices using large datasets. Applied Spatial Analysis and Policy, 13(1), 223–256. https://doi.org/10.1007/s12061-019-09301-x Search in Google Scholar

Xiao, Y., Webster, C., & Orford, S. (2016). Can street segments indexed for accessibility form the basis for housing submarket delineation? Housing Studies, 31(7), 829–851. https://doi.org/10.1080/02673037.2016.1150433 Search in Google Scholar

Yim, O., & Ramdeen, K. T. (2015). Hierarchical cluster analysis: Comparison of three linkage measures and application to psychological data. The Quantitative Methods for Psychology, 11(1), 8–21. https://doi.org/10.20982/tqmp.11.1.p008 Search in Google Scholar

Yu, D., Wei, Y. D., & Wu, C. (2007). Modeling spatial dimensions of housing prices in Milwaukee, WI. Environment and Planning. B, Planning & Design, 34(6), 1085–1102. https://doi.org/10.1068/b32119 Search in Google Scholar

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