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Evaluating Alternative Operations Strategies to Improve Travel Time ...

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SHRP 2 L11: Final Appendices<br />

Step 1 – Characterize the Rare Event<br />

A. Location parameter = µ = 1.67<br />

Scale parameter = PV (<br />

T<br />

,) t = 0.88<br />

B. The probability distribution using the Gumbel probability density function is<br />

given by:<br />

−( x−µ<br />

) −( x−µ<br />

)<br />

1<br />

e σ<br />

σ −<br />

f ( x; µσ , ) = e e<br />

Gumbel<br />

σ<br />

1<br />

= e<br />

0.88<br />

−( x−1.67)<br />

0.88<br />

e<br />

−( x−1.67)<br />

0.88<br />

−e<br />

where<br />

x is the random variable of interest (number of hurricanes during the<br />

lifespan of the strategy/policy)<br />

STEP 2 – Calculate Certainty-Equivalent Value of Uncertainty associated with Rare Event<br />

Here, the investment opportunity is <strong>to</strong> spend $101 million <strong>to</strong> avoid $100 million in costs per<br />

hurricane event. Equation 4 can be used <strong>to</strong> derive the certainty equivalent value of uncertainty<br />

associated with the occurrence of hurricanes.<br />

A. Use Equation 4 <strong>to</strong> calculate the certainty-equivalent value of uncertainty associated with rare<br />

events. Default values for the interest rate and the mean and standard deviation for the process that<br />

generates V are based on those used by Koh and Paxon (2005). Because the Koh and Paxon<br />

formulation embeds the option value in<strong>to</strong> an investment framework, the interest rate is 9% <strong>to</strong><br />

reflect a risk premium and inflation.<br />

VALUATION OF TRAVEL-TIME RELIABILITY FOR RARE EVENTS Page C-15

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