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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

dc.contributor.author Mohammed, Ali Omar
dc.contributor.author Harputlugil, Timuçin
dc.contributor.author Harputlugil, Timucin
dc.contributor.authorID 40295 tr_TR
dc.contributor.other Mimarlık
dc.contributor.other 05.02. Mimarlık
dc.contributor.other 05. Mimarlık Fakültesi
dc.contributor.other 01. Çankaya Üniversitesi
dc.date.accessioned 2025-09-23T12:48:03Z
dc.date.available 2025-09-23T12:48:03Z
dc.date.issued 2017
dc.description Mohammed, Ali Omar Ramadhan/0000-0002-8408-5827 en_US
dc.description.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. en_US
dc.identifier.citation Mohammed, Ali Omar; Harputlugil, Timuçin, "Onceptual framework for a decision-making model based on the analytic hierarchy process (AHP) To Select The Best Public Private Partnership (PPP) model for airports", 3rd Nzaar International Event Series On Natural And Built Environment, Cities, Sustainability And Advanced Engineering, pp.99-107, (2017). en_US
dc.identifier.issn 2463-5960
dc.identifier.issn 2463 -5979
dc.identifier.uri https://hdl.handle.net/20.500.12416/15228
dc.language.iso en en_US
dc.publisher New Zealand Acad Applied Research Ltd en_US
dc.relation.ispartof International Conference on Urban Design and Cities Planning (UDCP) -- JUL 15, 2017 -- Kuala Lumpur, MALAYSIA en_US
dc.relation.ispartofseries NZAAR International Event Series on Natural and Built Environment Cities Sustainability and Advanced Engineering
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Public-Private Partnership (Ppp) en_US
dc.subject Critical Success Factors (Csf) en_US
dc.subject Analytical Hierarchy Process (Ahp) en_US
dc.subject Sensitivity Analysis en_US
dc.subject Decision Making Model en_US
dc.subject Airport en_US
dc.title 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 en_US
dc.title 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 tr_TR
dc.type Conference Object en_US
dspace.entity.type Publication
gdc.author.id Mohammed, Ali Omar Ramadhan/0000-0002-8408-5827
gdc.author.institutional Harputlugil, Timuçin
gdc.author.wosid Mohammed, Ali/Aaj-2646-2020
gdc.author.wosid Harputlugil, Timuçin/C-8051-2019
gdc.author.wosid Mohammed, Ali Omar Ramadhan/G-3130-2018
gdc.description.department Çankaya University en_US
gdc.description.departmenttemp [Mohammed, Ali Omar] Cankaya Univ, Interior Design Dept, Ankara, Turkey; [Harputlugil, Timucin] Cankaya Univ, Architecture Dept, Ankara, Turkey en_US
gdc.description.endpage 107 en_US
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
gdc.description.startpage 99 en_US
gdc.description.woscitationindex Conference Proceedings Citation Index - Science
gdc.identifier.wos WOS:000426921100015
gdc.wos.citedcount 0
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