Conceptual Framework for a Decision-Making Model Based on the Analytic Hierarchy Process (AHP) to Select the Best Public Private Partnership (PPP) Model for Airports

Ali Omar Mohammed^1*, Timuçin Harputlugil²

1. ¹Interior Design Department, Cankaya University, Ankara
2. ²Architecture Dept., Cankaya University, Ankara

Published in The Third NZAAR International Event Series on Natural and Built Environment, Cities, Sustainability and Advanced Engineering, Kuala Lumpur, Malaysia, 15 July 2017, pages 99 to 107. New Zealand Academy of Applied Research. ISSN 2463-5979 (online), 2463-5960 (print). Indexed in the Web of Science Core Collection, Conference Proceedings Citation Index (Clarivate).

Abstract

The adoption of public-private partnerships (PPPs) as a strategy for infrastructure projects, such as airports, highways, bridges, water supplies, and telecommunication, has been implemented in developed and developing countries with a number of obstacles. Based on this stance, critical success factors (CSFs) of public-private partnership projects and the selection of appropriate PPP models are critical issues that need to be analyzed. A multidisciplinary review of the literature on the critical success factors of public-private partnerships projects reveals the lack of a comprehensive decision-making model for selecting an appropriate PPP model. This paper presents a conceptual framework for a decision-making model to select the best PPP model considering CSFs for developing countries. The model is expected to be used for infrastructure projects, mostly for airports. The decision-making model is structured on the Analytic Hierarchy Process and sensitivity analysis. The decisionmaking model is expected to be adopted as a tool and contribute to decision makers for selecting the best fit PPP model for airports in order to enhance projects successfully.

Keywords: Public-Private Partnership (PPP); Critical Success Factors (CSF); Analytical Hierarchy Process (AHP); Sensitivity Analysis; Decision Making Model; Airport

Rights

Copyright © New Zealand Academy of Applied Research Ltd 2017. All rights reserved. Reproduced in the GDI Academy archive from the original proceedings without change to the authors’ text.