Affordable housing has been defined as housing which is adequate in quality and location. In addition to this, it is deemed to be housing that is not so costly that it prevents its occupants from meeting their basic living needs. This study aims to develop a framework to facilitate affordable housing delivery. The data collection used was a survey questionnaire. The survey was administered to occupants within five high-rise buildings in Penang. The study also utilized a Kaiser-Meyer-Olkin measure of 0.518, and Bartlett’s test of sphericity of (x2 (210) = 10953.982, p<0.001). The two statistical test discovered that the major determinants affecting demand for affordable housing were crime rates, housing prices and down payments. The results also demonstrated that six factors were successfully constructed using a factor analysis and assigned as factors that determined the demand for affordable housing. The research will be useful to policy makers, urban planners, developers, and contractors.

Affordable housing has been defined as housing which is adequate in quality and location. In addition to this, it is deemed to be housing that is not so costly that it prevents its occupants from meeting their basic living needs. This study aims to develop a framework to facilitate affordable housing delivery. The data collection used was a survey questionnaire. The survey was administered to occupants within five high-rise buildings in Penang. The study also utilized a Kaiser-Meyer-Olkin measure of 0.518, and Bartlett’s test of sphericity of (x2 (210) = 10953.982, p<0.001). The two statistical test discovered that the major determinants affecting demand for affordable housing were crime rates, housing prices and down payments. The results also demonstrated that six factors were successfully constructed using a factor analysis and assigned as factors that determined the demand for affordable housing. The research will be useful to policy makers, urban planners, developers, and contractors.

Buying a house is a major decision that homebuyers will make because expenditure on homeownership has an influence on the homeowner’s quality of life. The housing price also influence developers’ revenues and profit margins. Developers produce houses to make profits, however, with the increase in housing prices, homeownership rate and developers’ profit performance will be affected. This study examines the reasons why housing prices are increasing in spite of the government’s ‘cooling’ measures. Through a cross-sectional survey questionnaire, comprising 24 causes and 115 members of the housing developers and designers teams, 13 influential factors to the increase in housing prices were found. Additionally, the participants were also inquired on the five most influential factors causing the increase in housing prices. The factors include the shortage of materials, quality of materials, strategic factors, housing location and availability of transportation system. The results of the study are useful to developers, homebuyers and policymakers towards reducing housing prices.