Optimizing Investment Selection for PPP Framework in the Transport Sector: A Risk Perspective

The huge financial requirement of essential transport infrastructure system has challenged the availability of government funding. To fill the fiscal gap, public–private partnerships (PPP) framework has been applied as a promising mechanism. The success of PPP projects, however, is significantly influenced by a number of critical factors. Therefore, an optimum and comprehensive evaluation of projects, reflecting critical risks, supporting investment decisions, has been highly demanded by both the public and private sector. Various works, in previous studies, have been spreading scientific models assessing risks in the construction industry, and some of them focused on the area of PPP. However, the majority of published methods just concentrated on addressing and leveling risks, and there is a lack of application in evaluating and comparing different PPP projects, as investment options, with regards to key issues. Hence, in the situation of limited budget, the public and private partners may struggle with deciding the most potential alternative. To overcome this real-world challenge, this paper, by proposing a mathematical model, attempts to optimize investment selection by evaluating different projects' riskiness with the focus on transport projects. Different actual PPP transport projects in Vietnam were employed as case studies to analyze the practicality of the proposed application.

[1]  M. S. Nagakumar,et al.  Impact Assessment and Prioritization of Critical Delay Factors for a Road Project , 2020, Civil Engineering and Architecture.

[2]  K. Sullivan,et al.  Construction Risks in Developing Countries: A Vietnam Case Study , 2020 .

[3]  L. Ustinovichius,et al.  The Evaluation of the Contractor’s Risk in Implementing the Investment Projects in Construction by Using the Verbal Analysis Methods , 2019, Sustainability.

[4]  Rifat Sonmez,et al.  A support vector machine method for bid/no bid decision making , 2017 .

[5]  R. Macário,et al.  Are we planning investments to fail? Consequences of traffic forecast effects on PPP contracts: Portuguese and Brazilian cases , 2016 .

[6]  El Mostafa Qannari,et al.  A method for panelists’ consistency assessment in sensory evaluations based on the Cronbach’s alpha coefficient , 2014 .

[7]  O. Petersen,et al.  PPP projects in transport: evidence from light rail projects in Spain , 2014 .

[8]  A. Zoomers,et al.  Compensation and Resettlement Policies after Compulsory Land Acquisition for Hydropower Development in Vietnam: Policy and Practice , 2013 .

[9]  A. Culyer,et al.  Analytic hierarchy process , 2013 .

[10]  Mingju Zhang,et al.  Improved AHP Method and Its Application in Risk Identification , 2013 .

[11]  Llewellyn Tang,et al.  Identifying design development factors in Australian PPP projects using an AHP framework , 2013 .

[12]  Patrick X.W. Zou,et al.  Risk Identification and Assessment in PPP Infrastructure Projects using Fuzzy Analytical Hierarchy Process and Life-Cycle Methodology , 2012 .

[13]  Patrick X.W. Zou,et al.  Fuzzy AHP-Based Risk Assessment Methodology for PPP Projects , 2011 .

[14]  A. T. Kiggundu Financing public transport systems in Kuala Lumpur, Malaysia: challenges and prospects , 2009 .

[15]  Weihua Liu,et al.  Study on the Selection Method of PPP Mode in the Domain of Public Infrastructure , 2009 .

[16]  Dongping Fang,et al.  A life‐cycle risk management framework for PPP infrastructure projects , 2008 .

[17]  Jun Liu,et al.  An integrated AHP-DEA methodology for bridge risk assessment , 2008, Comput. Ind. Eng..

[18]  Patrick X.W. Zou,et al.  Fuzzy Analytical Hierarchy Process Risk Assessment Approach for Joint Venture Construction Projects in China , 2007 .

[19]  P. Dey,et al.  Risk management in oil and gas construction projects in Vietnam , 2007, Risk Management in Engineering and Construction.

[20]  Stefan Van Aelst,et al.  Robust estimation of Cronbach's alpha , 2006 .

[21]  N. Bhushan,et al.  Strategic Decision Making: Applying the Analytic Hierarchy Process , 2004 .

[22]  A. Ababutain,et al.  A MULTI-CRITERIA DECISION-MAKING MODEL FOR SELECTION OF BOT TOLL ROAD PROPOSALS WITHIN THE PUBLIC SECTOR , 2002 .

[23]  Miroslaw J. Skibniewski,et al.  Evaluation of Advanced Construction Technology with AHP Method , 1992 .

[24]  Keizo Ugai,et al.  A Decision Support System for Ground Improvement Projects Using Gypsum Waste Case Study: Embankments Construction in Japan , 2013 .

[25]  Patrick X.W. Zou,et al.  Identifying Key Risks in Construction Projects : Life Cycle and Stakeholder Perspectives , 2006 .