Attributes of Housing Mismatch Framework in Urban Areas


  • Ahmad Fawwaz Saleh
  • Ting Kien Hwa
  • Rohayu Ab Majid
  • Muhammad Hilmi Mohamad@Masri



Housing industry is constantly faced with various phenomena of the real estate market. The gamble between elements of supply and demand in the housing industry segmentation is shaping the market situation. However, the expected balance between supply and demand is difficult to achieve, even in the long run. Therefore, this study aims to examine the key factors that contribute to the level of demand in a real estate market. Respondents representing buyers of area studies have questioned on their consideration of the factors that might influence their decision in-house purchasing. Three main components such as housing regulation, geographical spatial location, and housing product have been expanded with seven subcomponent and 37 elements. Data were collected through a preliminary survey  from sample population at study area of Wangsa Maju, Kuala Lumpur, Malaysia, which experienced with housing mismatch phenomena. Data has been analysed by using  SPSS software in generated the mean score for each of element. The results indicate that 18 of the 36 items reported average rating  at values more than 3.0. This shows that three main components of the study indeed affect home buyers as well as lead to the level of housing demand in the housing market. Documentation of this aspect in urban areas will make local communities, government, and private institution appreciate and improvise better decision-making for residential development to decrease a gap. Thus, better enhancement in quality of life by the stakeholders will create a strong sense of community identity and belonging to the places.

Keywords: Housing mismatch; Urban Areas; Dissimilarity; Quality of life

© 2017. The Authors. Published for AMER ABRA by e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-ND license ( Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.



A. Hamid Mar. (2006). Price-Contour Based Spatial DUmmy Variables for Segmenting Market in the Geographic INformation System Assisted Hedonic Modelling of Residential Property Prices. Malaysian Journal of Real Estate, 1(1), 39–57.

Abdullah, H. (1992). Everything the condominium Developer should have told you. Pelanduk Publication (M) Sdn Bhd.

Ahmed, E., Shaqra ’, A., Badarulzaman, N., & Roosli, R. (2015). ScienceDirect Residents’ Perception of the Affordability of Private Housing Schemes: Lessons from Aden, Yemen. Procedia -Social and Behavioral Sciences, 202(202), 389–399.

Ariff, K., Omar, D., & Mohd, Z. (2016). The Relationship between Youth Activities and Outdoor Features in Urban Neighbourhood Space. Procedia - Social and Behavioral Sciences, 234, 271–279.

Ariff, K., Omar, D., Othman, S., & Mohd, Z. (2016). Reviewing Youth Facility Requirements for Low-Cost Housing in. Procedia - Social and Behavioral Sciences, 222, 702–709.

Bogdon & Can. (1997). Indicator of local housing affordability : comparative and spatial approaches. Real Estate Economics, 25(1), 43–80.

Bramley, G. (2007). “The sudden rediscovery of housing supply as a key policy challenge.” Housing Studies, 22(2), 22–41.

Cagamas. (2013). HOUSING THE NATION ; Policies, Issues and Prospects. Cagamas Holdings Berhad.

DBKL. (2015). Dewan Bandaraya Kuala Lumpur. Housing Supply In Kuala Lumpur.

Dujardin, C. And Goffette-Nagot, F. (2005). Neighbourhood effects, public housing and unemployment in a French city.

Fawwaz, A., Saleh, A., Hwa, T. K., & Majid, R. (2016). Housing Mismatch Model in Suburban Areas. Procedia - Social and Behavioral Sciences, 234, 442–451.

Gobillon, L., Selod, H., & Zenou, Y. (2007). The Mechanisms of Spatial Mismatch. Urban Studies, 44(12), 2401–2427.

Hamdan, H., Yusof, F., & Marzukhi, M. A. (2014). AcE-Bs 2014 Sabah ASEAN Conference on Environment-Behaviour Studies The Social Capital and Quality of Life in Urban Neighborhoods High Density Housing. Procedia - Social and Behavioral Sciences, 153, 169–179.

Hilmi, M., Hadi, A., & Ibrahim, S. (2016). Review of Building, Locational , Neighbourhood Qualities Affecting House Prices in Malaysia. Procedia - Social and Behavioral Sciences, 234, 452–460.

Hui, E. C. M., Zhong, J., & Yu, K. (2015). Housing policy, work-residence mismatch and poverty concentration. Habitat International, 48, 198–208.

JPPH. (2016). Jabatan Penilaian dan Perkhidmatan harta Data Transaction. Kuala Lumpur.

KLSP. (2000). Kuala Lumpur Structure Plan 2020. DBKL. Retrieved from

Khazanah Research Institute Report. (2015). Making Housing Affordable. Malaysia: Khazanah Research Institute Publisher.

Leng, T. ai. (2015, December). Wangsa maju move up the value chain. Property Edge, p. 3.

Lisi, G. & M. (2015). Estimating the housing price with a search-and-matching model. Journal of European Real Estate Research, 8(2), 107–129.

Mulliner, E., Smallbone, K., & Maliene, V. (2013). An assessment of sustainable housing affordability using a multiple criteria decision making method. Omega, 41(2), 270–279.

Nawawi, A. H. (1999). Computer assisted Rating Valuation of Commercial and Industrial Properties in Malaysia ; Developing an Expert System from a Multiple Experts Knowledge Elicitation Methodology. Journal of Valuation and Property Services, 2(1), 13 – 38.

NLIHC. (2016). No Refuge for Low Income Renters. Washington: JPmorgan Chase & Co. Retrieved from www.NLHC.ORG/OOR

Safian, E., Nawawi, A. H., & Sipan, I. (2014). Building and Locational Characteristic’s Quality of Purpose-Built Office and their Relationship with Rentals. MPRA, 64908(61160).

Seelig & Phhibs. (2006). Beyond the normative : low income private renters’ perspective of housing affordability and need for housing assistance. Urban Policy and Research, 24(1), 55 – 66.

Stoll, M., Holzer, H. and Ihlanfeldt, K. (2000). Within cities and suburbs: racial residential concentration and the spatial distribution of employment opportunities across submetropolitan areas. Journal of Policy Analysis and Management, 19, 2017–231.

Štreimikienė, D. (2014). Housing Indicators for Assessing Quality of Life in Lithuania. Intellectual Economics, 8(1), 25–41.

Tasir, M., & M.S, A. (2003). Analisis Data Berkomputer SPSS 11.5 for windows. Kuala Lumpur: Vendon Publishing.

Thalmann, P. (2003). “House poor” or simply “poor”? Journal of Housing Economics, 12(4), 291–317.

Wan Nor Azriyati, N. Hani, Z. M. (2007). Public-private partnerships approach: A success story in achieving democracy in the home ownership for urban inhabitants in Kuala Lumpur Malaysia. REAL CORP 007.

Zhou, S. H., Wu, Z. D., & Cheng, L. P. (2013). The Impact of Spatial Mismatch on Residents in Low-income Housing Neighbourhoods: A Study of the Guangzhou Metropolis, China. Urban Studies, 50(9), 1817–1835.



How to Cite

Saleh, A. F., Hwa, T. K., Ab Majid, R., & Mohamad@Masri, M. H. (2017). Attributes of Housing Mismatch Framework in Urban Areas. Environment-Behaviour Proceedings Journal, 2(5), 277-285.