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Transportation infrastructure project cost overrun risk analysis : risk factor analysis models

University of British Columbia

The main purpose of this thesis is to analyze some common risk factors and to propose several useful analytical models for cost overrun risk analysis in transportation infrastructure investments. Probability models and regression models are proposed and partially (due to data insufficiency) applied using the VIHP (Vancouver Island Highway Project) data. The VIHP case study shows that cost overrun ratio increases as project sizes increase for small road/highway projects (budget < $0.25 million) and bridge/tunnel projects (budget >$0.85 million). However for road/highway projects with budgets over $0.25 million, cost overrun ratio decreases as project size increases. Using the VIHP database, results of a distribution fitting model and a Monte Carlo simulation model are compared. Compared with the distribution fitting model, the Monte Carlo simulation model is shown to underestimate both the upper bound value of project cost overrun ratio and slightly the probabilities of cost overrun. The distribution fitting model and regression model are shown to have close estimates of project costs and cost ranges at each confidence level.

Text

2010-01-16

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http://hdl.handle.net/2429/18377

Business Administration

University of British Columbia

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