Decision support factors evaluative model for affordable PPP public housing delivery in Ghana

Titus Ebenezer Kwofie, Michael Nii Addy, Daniel Yaw Addai Duah, Clinton Ohis Aigbavboa, Emmanuel Banahene Owusu, George Felix Olympio

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish
JournalJournal of Engineering, Design and Technology
Publication statusAccepted/In press - 2024


  • Analytical hierarchy process
  • Housing affordability
  • Multi-attribute utility technique
  • Public housing
  • Public–private partnerships

ASJC Scopus subject areas

  • General Engineering


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