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Evaluating Alternative Operations Strategies to Improve Travel Time ...

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SHRP 2 L11: Final Appendices<br />

in this interval—not at the end of the interval. This makes the use of the European option<br />

inappropriate, since it assumes a finite horizon and exercise at the end of that interval. In such<br />

cases, it is more logical <strong>to</strong> use an American option with a perpetual life.<br />

Coupling a perpetual life option with EV distributional assumptions complicates the arithmetic of<br />

the unreliability-valuation process considerably. There are only a handful of published papers that<br />

address this concept. Work by Koh and Paxson (2005) has been adapted <strong>to</strong> value decisions <strong>to</strong><br />

invest in rare-event ventures. This work provides some guidance regarding placing a value on<br />

unreliability associated with rare events that may play out over a long period of time. However, the<br />

adaptation likely can be better refined <strong>to</strong> traffic-related concerns with further research.<br />

The approach taken by Koh and Paxson assumes that one embarks on a program <strong>to</strong> produce<br />

benefits or reduce costs recognizing that potential benefits of the strategy are highly uncertain.<br />

Only few events occur even after having had the strategy (option) in place for a long time. The<br />

Koh and Paxson example is similar in spirit <strong>to</strong> highway situations in which there is insufficient<br />

information <strong>to</strong> parameterize the network performance (e.g., speed) distribution directly, but one<br />

knows that rare events affect network performance.<br />

Sufficient data must be available <strong>to</strong> parameterize the EV distribution, but only for the rare-event<br />

process. The connection between the rare event process and the economic consequences of the<br />

event occurring is determined by characterizing the value of the event process separately. Koh and<br />

Paxson do this by postulating a Wiener process, with a log-mean and log-standard deviation. The<br />

Koh and Paxson method also allows the cost, K, of facilitating the mitigating strategy <strong>to</strong> be<br />

incorporated, so that the option is a project value (net benefit) concept. Incorporating project<br />

valuation directly in<strong>to</strong> the options-theoretic framework with the Generalized EV is a potentially<br />

valuable way <strong>to</strong> derive certainty-equivalent economic values of highway management strategies.<br />

There is limited literature on the use of perpetual American options, so the Koh and Paxson paper<br />

is particularly interesting. The mathematics become doubly complex due <strong>to</strong> both rare-event and<br />

perpetual-option considerations. The Koh and Paxson option is a perpetual American call option.<br />

However, put-call parity allows us <strong>to</strong> use this formulation by restating the problem slightly.<br />

Equation 4 presents the Koh and Paxson method for the Gumbel EV distribution.<br />

VALUATION OF TRAVEL-TIME RELIABILITY FOR RARE EVENTS Page C-8

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