Affordable housing mismatch model in an urban area / Ahmad Fawwaz Ahmad Saleh

• Main Author: Ahmad Saleh, Ahmad Fawwaz
• Format: Thesis
• Language: English
• Published: 2022
• Subjects: House construction
• Online Access: https://ir.uitm.edu.my/id/eprint/78530/1/78530.pdf; https://ir.uitm.edu.my/id/eprint/78530/

Housing mismatch becomes an essential issue in urban areas; it causes inequality of housing supply and demand in the property market. Most of the component established that occurs to housing mismatch have already formed and most of the time, they are touched on the surface only. Therefore, the relevant housing mismatches attributed needs to be explored by identifying the possible factor and solution to current issues on affordable housing mismatch in Malaysia. This research aims to determine the relevant component and significant attribute in housing market in order to derive the framework of affordable housing mismatch assessment model. Through literature review, four main components: product factors, spatial geographical location, regulation and other unanimous issues has been explored in measuring the gaps between demand and supply. This component has been expanded with a few attributes which 31 attributes are represented by housing supply and 25 attributes are represented by housing demand. Research data has been collected through site observation and questionnaires distributed to the public and developer as referring to demand and supplier side at Wangsa Maju. The Delphi Technique has been applied in order to establish relevant components and potential attribute for housing demand and housing supply. Data from the primary survey has been run with a descriptive analysis which derived the mean score of attribute and cross tabulation for a few categories of respondent profile. All the variables that recorded good average values have been applied with factor analysis for the purpose of recognizing their pattern and grouping. Next, the attributes formed in the particular group were conducted in a significant and correlation analysis over the current housing market. The result found that all variables recorded significance relationship values with housing profiles. From the result, the selection of highest relationship factors is used for development of housing mismatch models using PLS-SEM. The final output showed a measurement model of housing mismatch that indicated significant result through CR and AVE score in housing market and significant relationship of structural model after validation by expert panels through interview has indicated with seven attributes from housing demand and eleven attributes from housing supply to measure affordable housing mismatch. On this basis, affordable housing mismatch model in Wangsa Maju has been established.