TY - JOUR
T1 - Decision support factors evaluative model for affordable PPP public housing delivery in Ghana
AU - Kwofie, Titus Ebenezer
AU - Addy, Michael Nii
AU - Duah, Daniel Yaw Addai
AU - Aigbavboa, Clinton Ohis
AU - Owusu, Emmanuel Banahene
AU - Olympio, George Felix
N1 - Publisher Copyright:
© 2024, Emerald Publishing Limited.
PY - 2024
Y1 - 2024
N2 - Purpose: As public–private partnerships (PPPs) have become preferred and veritable approach to deliver affordable housing, the seemingly lack of understanding of the significant factors that impact on success has become a notable setback. This study aims to delineate significant factors that can support decisions in affordable PPP public housing delivery. Design/methodology/approach: Largely, a questionnaire survey was adopted to elicit insights from practitioners, policymakers and experts to develop an evaluative decision support model using an analytical hierarchy process and multi-attribute utility technique approach. Further, an expert illustration was conducted to evaluate and validate the results on the housing typologies. Findings: The results revealed that energy efficiency and low-cost green building materials scored the highest weighting of all the criteria. Furthermore, multi-storey self-contained flats were found to be the most preferred housing typology and were significantly influenced by these factors. From the model evaluation, the scores on the factors of sustainability, affordability, cultural values and accountability were consistent across all typologies of housing whereas that of benchmarking, governance and transparency were varied. Originality/value: The decision support factors captured varied dimensions of key factors that impact on affordable PPP housing that have not been considered in an integrated manner. These findings offer objective and systematic support to decision-making in affordable PPP housing delivery.
AB - Purpose: As public–private partnerships (PPPs) have become preferred and veritable approach to deliver affordable housing, the seemingly lack of understanding of the significant factors that impact on success has become a notable setback. This study aims to delineate significant factors that can support decisions in affordable PPP public housing delivery. Design/methodology/approach: Largely, a questionnaire survey was adopted to elicit insights from practitioners, policymakers and experts to develop an evaluative decision support model using an analytical hierarchy process and multi-attribute utility technique approach. Further, an expert illustration was conducted to evaluate and validate the results on the housing typologies. Findings: The results revealed that energy efficiency and low-cost green building materials scored the highest weighting of all the criteria. Furthermore, multi-storey self-contained flats were found to be the most preferred housing typology and were significantly influenced by these factors. From the model evaluation, the scores on the factors of sustainability, affordability, cultural values and accountability were consistent across all typologies of housing whereas that of benchmarking, governance and transparency were varied. Originality/value: The decision support factors captured varied dimensions of key factors that impact on affordable PPP housing that have not been considered in an integrated manner. These findings offer objective and systematic support to decision-making in affordable PPP housing delivery.
KW - Analytical hierarchy process
KW - Housing affordability
KW - Multi-attribute utility technique
KW - Public housing
KW - Public–private partnerships
UR - http://www.scopus.com/inward/record.url?scp=85183045898&partnerID=8YFLogxK
U2 - 10.1108/JEDT-05-2023-0198
DO - 10.1108/JEDT-05-2023-0198
M3 - Article
AN - SCOPUS:85183045898
SN - 1726-0531
JO - Journal of Engineering, Design and Technology
JF - Journal of Engineering, Design and Technology
ER -