Risk allocation in public-private partnership projects : an innovative model with an intelligent approach

Jin, Xiaohua and Doloi, Hemanta 2007, Risk allocation in public-private partnership projects : an innovative model with an intelligent approach, in COBRA 2007 : Proceedings of the Construction and Building Research Conference of the Royal Institution of Chartered Surveyors, Royal Institution of Chartered Surveyors (RICS), [Georgia Tech, Atlanta], pp. 1-13.

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Title Risk allocation in public-private partnership projects : an innovative model with an intelligent approach
Author(s) Jin, Xiaohua
Doloi, Hemanta
Conference name Construction and Building Research Conference of the Royal Institution of Chartered Surveyors (2007 : Georgia Tech, Atlanta)
Conference location Georgia Tech, Atlanta
Conference dates 6-7 September 2007
Title of proceedings COBRA 2007 : Proceedings of the Construction and Building Research Conference of the Royal Institution of Chartered Surveyors
Editor(s) [Unknown]
Publication date 2007
Conference series Construction and Building Research Conference of the Royal Institution of Chartered Surveyors
Start page 1
End page 13
Publisher Royal Institution of Chartered Surveyors (RICS)
Place of publication [Georgia Tech, Atlanta]
Keyword(s) risk allocation
risk management
public-private partnership (PPP)
artificial Neural Network (ANN)
fuzzy logic
Summary Both the increasing private participation in public projects and the critical importance of appropriate risk allocation to the success of Public-private partnership (PPP) projects justify specific research on how to establish effective risk allocation strategies in PPP projects. Partner’s risk management capability is currently the main concern to risk allocation in PPP projects. Following the transaction cost economics, it is argued that factors such as partner’s commitment and risk management structure should be considered simultaneously in order to develop effective risk allocation strategies. Based on the holistic capability-commitment governance-driven view, this paper proposed a model for generating an optimal risk allocation strategy in PPP projects. The model is demonstrated and described. An artificial intelligent technique integrated with fuzzy logic for model testing and validation is then introduced and justified. The innovative model is expected to provide a logical and complete understanding of the risk allocation strategy selection process, and to provide stakeholders with a richer framework than previously existing ones to guide their decision-making on risk allocation strategies.
ISBN 9781842193570
Language eng
Field of Research 120201 Building Construction Management and Project Planning
Socio Economic Objective 870501 Civil Building Management and Services
HERDC Research category E1.1 Full written paper - refereed
Copyright notice ©2007, Royal Institution of Chartered Surveyors (RICS)
Persistent URL http://hdl.handle.net/10536/DRO/DU:30022621

Document type: Conference Paper
Collection: School of Architecture and Built Environment
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