Relationships of quality level of building, locational, and neighbourhood characteristics with house prices / Muhamad Hilmi Mohamad @ Masri

• Main Author: Mohamad @ Masri, Muhamad Hilmi
• Format: Thesis
• Language: English
• Published: 2018
• Online Access: https://ir.uitm.edu.my/id/eprint/82541/1/82541.pdf; https://ir.uitm.edu.my/id/eprint/82541/
• Institution: Universiti Teknologi Mara

The housing qualities were an integral part of property markets and they form part of an evaluation process that was elaborate and complex to be undertaken and most of the time were touched on the surface only. The housing characteristics qualities were needed to be identified as the standards and guidelines used for them were insufficient and this leads to an interesting research gap. The researcher has identified through the problem statements and literature review that ultimately, characteristics for three main aspects which were building, locational and neighbourhood were needed to be identified and measured its quality level. The researcher has utilized the literature review together with the Delphi Method to find and establishes the needed characteristics for the upcoming measurements. The Delphi Method that was applied with semi-structured interview and have 3 stages have extracted valuable views from various expert panels. An observation form was also produced resulting from the interviews conducted with the expert panels. The next process of the research involved with finding out the weightage of importance of the characteristics. The weightage of importance were carried out through the Analytical Hierarchy Process (AHP) that have the elements of Pairwise Comparison Scale to compare between characteristics. The result from the weightage were then combined together with an observational method. The research also utilizes geo-spatial information software utilizing the Geo-Information System (GIS). The geo-spatial software were used primarily in helping determining higher accuracy of radius and distance. The researcher has found out through the combination of both weightage of importance and the level of quality of houses then helps to produce the Building Locational Neighbourhood Quality Index (BLNQI). The BLNQI, together with usage of Regression Analysis, has been able to produce the findings of the higher the rate of the index, the higher the house prices being offered. The results also showed that some characteristics have significance in terms of their relationship such were location and access. This was proven through the help of validation from sampled houses in the residential area showing relationship between Building, Locational, and Neighbourhood Quality Index with house prices. Recommendations were given particularly to serve as guidelines to measure quality level, help in establishing BLNQI as common guideline, and serve as basis of prediction value towards establishing house prices in an empirical way.