Public Housing Delivery in Niger State, Nigeria: A Liveability Predictive Model

Abstract

Abstract The study aimed at identifying liveability variables which can be utilised in the design and as well used for quick liveability assessment of public housing in the study area. Liveability consideration has become a requirement in which cities around the world are re-examining their urban issues so as to enhance the quality of life. Hierarchical Cluster Analysis, Factor Analysis and Multiple Regression Analysis were used to respectively group, reduce number of variables, and validate and measure how well the 21 identified variables predicted Resident Perceived Satisfaction Index (RPSI). The model produced an R2 value of 71.3% indicating that only 28.7% of variables causing variation in RPSI were outside the prediction domain of the model. The model can be used as a quick liveability assessment tool for the residential environment while variables identified serve as foundation design and planning considerations for public housing delivery in the study area.