Optimizing Affordable Housing: A Quantitative And Qualitative Analysis Of Multidimensional Quality Parameters Using PCA

Abstract

The problem of housing for low income individuals is one of the largest concerns of the world today, hence the need to find ways of making housing more equitable in terms of cost yet improve the quality. As such, this qualitative research evaluates PCA as a tool for improving the selected major quality parameters of affordable housing projects. As one of the active participants in dimensionality reduction, PCA offers recommendations with regard to the choice of sites, layout plans, the financial side of projects, and packages. Data collection and normalization and all the components influencing quality of housing are established using PCA. The results make a contribution to building the framework for decision making of how sustainable solutions in the building processes can be reached in a good quality and at present affordable way. Thus, this paper provides valuable lessons on the complex nature of affordable housing challenges, as well as signposts for enhancing project outcomes. Shelter is among the basic Human necessity that man cannot afford to do without, and affordable shelter is the order of the day considering the current world. The research in this study is concerned with establishing these relationships and the degree of variation in affordable housing projects through analyzing PCA on quality parameters. It also supports in decreasing the noise besides the critical factors such as site selection, layout design, business models as well as packages for construction. The study seeks to conduct a quantitative data collection and then clean the data before carrying out a PCA in order to find out the factors that influences the quality of housing.