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Evaluating Alternative Operations Strategies to Improve Travel Time ...

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SHRP 2 L11: Final Appendices<br />

public without a mitigation strategy. The present value of the costs of installing the pumping<br />

system is $101 million. The agency now has <strong>to</strong> ask the question, “Is it worth the (present value)<br />

$101 million <strong>to</strong> mitigate the (present value) of $100 million in impact cost?” Given the current<br />

state of disparity between the investment cost and the expected losses, traditional capital<br />

investment models indicate that investment in the pumps would not be a rational decision by the<br />

agency. This methodology, however, does not incorporate the uncertainty of the event in a formal<br />

way.<br />

The Solution<br />

The options theoretic approach could be used <strong>to</strong> calculate the certainty-equivalent value of the<br />

uncertainty regarding the occurrence and number of hurricanes.<br />

Data Needs<br />

• Information or data on the likelihood of hurricane events in the region <strong>to</strong> construct a<br />

distribution of hurricane events.<br />

Cautions<br />

• By their very nature, it will be unlikely that the probability distribution for the rare event<br />

can be estimated from his<strong>to</strong>rical data.<br />

Procedure<br />

The steps involved in the calculation are outlined below:<br />

Step 1 – Characterize the Rare Event<br />

The incidence of the disruptive hurricanes that cause these effects is infrequent, and not easily<br />

predictable. His<strong>to</strong>rical evidence suggests that in this particular region, hurricane incidence can be<br />

characterized by a generalized extreme value (event) statistical distribution type known as the<br />

Gumbel distribution.<br />

A. Obtain data or information on the likelihood of future hurricane events in the region.<br />

B. Estimate parameter values from the Gumbel distribution <strong>to</strong> describe the expected<br />

probability distribution for hurricane events. Be certain that the rare event can be<br />

characterized by the Gumbel distribution.<br />

VALUATION OF TRAVEL-TIME RELIABILITY FOR RARE EVENTS Page C-14

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