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Guide to COST-BENEFIT ANALYSIS of investment projects - Ramiri

Guide to COST-BENEFIT ANALYSIS of investment projects - Ramiri

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4.1.5 Scenario analysisTwo scenario analyses have been conducted on the two alternatives, each considering 20% changes in avariable baseline value:- reducing the value <strong>of</strong> time savings;- increasing the vehicles operating costs;- increasing <strong>investment</strong> costs.The analysis demonstrates that the performance <strong>of</strong> the free mo<strong>to</strong>rway is robust, while the results for the<strong>to</strong>lled option are more controversial. The ranking <strong>of</strong> the two options is not affected by the values applied<strong>to</strong> time savings and externalities. In fact, for both options the project remains feasible from a socioeconomicpoint <strong>of</strong> view even when taking in<strong>to</strong> account a lower value for the externalities and time savings.The results <strong>of</strong> the sensitivity analysis are shown in the following Table.Table 4.8 Project performances in the scenario analysisTolled mo<strong>to</strong>rway ERR (%) ENPV (Millions <strong>of</strong> Euros)Baseline case 5.0 -41.3- 20% value <strong>of</strong> time 3.8 -144.4+20% vehicles operating costs 4.8 -63.4+ 20% <strong>investment</strong> costs 3.9 -158.0Free mo<strong>to</strong>rway ERR (%) ENPV (€)Baseline case 7.8 212.9- 20% value <strong>of</strong> time 6.2 72.1+ 20% vehicles operating costs 7.8 239.9+ 20% <strong>investment</strong> costs 7.1 195.04.1.6 Risk assessmentThe risk assessment has been conducted on the <strong>investment</strong> costs, which emerged as a critical variable inthe sensitivity test: it has been completed only on the selected option, the free mo<strong>to</strong>rway, and only for theeconomic performance indica<strong>to</strong>r ERR.An asymmetric triangular probability distribution has been assumed with the following range <strong>of</strong> values: the<strong>investment</strong>s costs can be lower than the estimated ones by maximum 20% and they cannot be higher thantwice the estimated ones. These basic assumptions have been derived from the data collected for similar<strong>projects</strong>. The probability distribution is shown in the following Figure 4.1:Figure 4.1 Probability distribution <strong>of</strong> <strong>investment</strong>s costs, Triang (0.8; 1; 2)1.81.61.41.210.80.60.40.20X

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