Modeling optimal thresholds for minimum traffic guarantee in public–private partnership (PPP) highway projects

2021 ◽  
pp. 1-23
Author(s):  
Zhenyao Wu ◽  
Shinya Hanaoka ◽  
Bin Shuai

The economic development of any country depends upon infrastructure of roads and highways but its construction, process and maintenance of roads and highways is not as simple as it seems like as growth of roads and highway projects involves massive capital and time. Nevertheless, the government does not have the resources required for the resolution. Public private partnership (PPP) is the resolution of this problem however, roads and highway projects comprises higher degree of risk for the private players which demoralizes private parties from capitalizing in highway projects. This paper discovers the prevailing literature on risks involved in roads and highway projects and sources of time and cost overrun in roads and highway projects for the purpose of analysis of major risks which effects in time and cost overrun in PPP built roads and highway projects. This paper also defines the impact of recognized risks over and done with questioner survey.


Author(s):  
Yunping Liang ◽  
Baabak Ashuri

Uncertainties about construction cost and operational revenues are two major risks in transportation public–private partnership (P3) projects. These uncertainties put projects at risk of being unable to fulfill annual debt repayment obligations. When a project generates insufficient cash flow to service the debt in a certain year, it normally has to go for short-term financing by borrowing short-term loans. With the help of revenue risk-sharing mechanisms, supported projects may be able to get rid of unexpected interest disbursement. The objectives of this paper are twofold: ( 1 ) evaluate the refinancing cost of P3 highway projects caused by cash flow shortage; and ( 2 ) critically examine the option value of contingent finance support and compare it with the option value of minimum revenue guarantee on saving refinancing cost for debt repayment. An integrated real options valuation model is created that utilizes utility method for pricing the technical project risk (e.g., construction cost overruns), and utilizes a risk-neutral option pricing method for pricing the market risk (e.g., future traffic). The proposed model has good transferability in relation to involving various risk factors, no matter technical risks or market risks, random variables or random processes. The proposed model helps stakeholders better understand and measure the burden of assuring annual debt repayment under uncertain cash flow. The stakeholders can use the proposed model to evaluate the value of the revenue risk-sharing mechanisms on reducing refinancing cost.


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