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Evaluating Alternative Operations Strategies to Improve Travel Time ...

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SHRP 2 L11: Final Appendices<br />

Comment #9:<br />

My main comment concerns the travel time reliability valuation issues. Although the proposed<br />

methodology for measuring the value of reliability using option values is innovative. The use of this<br />

methodology for this issue is new. From a scientific point of view this is very interesting. But in my<br />

opinion the research does not fully addresses the question whether the approach can be applied<br />

for transportation phenomena. Therefore, this approach presents a risk. To ' prove’ that the<br />

methodology will yield appropriate values for probabilities of travel times will require a lot of<br />

empirical research and comparison with methodologies currently applied elsewhere in the<br />

world (Norway, The Netherlands, UK, etc.). Without such work, it is very risky <strong>to</strong> incorporate the<br />

methodology as the standard procedure <strong>to</strong> be applied.<br />

Response #9:<br />

The thrust of this comment is that it urges us <strong>to</strong> compare the Options Theoretic approach with<br />

Stated and Revealed Preference approaches <strong>to</strong> ‘prove’ the appropriateness or validity of the results<br />

obtains using the options theoretic approach. Comparing the approaches is a useful suggestion since<br />

most folks working in this area are <strong>to</strong>iling away <strong>to</strong> develop unreliability valuations using the latter,<br />

two empirical approaches.<br />

The contrasts between the two approaches are the following;<br />

1. The RP or SP approaches are probably impractical methods for widespread application of<br />

reliability valuation. This is because they are not economical, requiring separate studies for each<br />

application. Even putting aside my general skepticism about the SP techniques, even that approach<br />

is relatively costly <strong>to</strong> implement and subject <strong>to</strong> the same statistical issues and biases that creep in<strong>to</strong><br />

interview-based contingent valuation, conjoint and similar analyses.<br />

2. The RP and SP approaches implicitly adopt utility function specifications that are certainly<br />

debatable in their mathematical form (usually linear in its arguments or some non-linear<br />

specification <strong>to</strong> introduce risk-aversion). Hence, they are no more agnostic than the Black-Scholes<br />

approach which technically assumes risk-neutrality, but have been shown <strong>to</strong> be robust <strong>to</strong> the<br />

assumption of risk-aversion.<br />

3. The RP and SP analyses usually also postulate a somewhat specific characterization of the<br />

context of unreliability–e.g., that it arises out of a particular manifestation of a scheduling-cost<br />

problem, etc. The Options Theoretic approach is no more restrictive; it simply postulates that there<br />

is a willingness <strong>to</strong> pay for insurance (hypothetically) that compensates drivers for not experiencing<br />

below-average speeds that are, in turn, generated from draws from a log-normally distributed delay<br />

process.<br />

4. A major difference (which I see as an advantage of the Options Theoretic approach) is that the<br />

value of the real option allows separation of the value-of-time issue from the "real" unreliability<br />

issue. Since the existing travel models carry values of time internally for other purposes (mode<br />

choice and traffic assignment), the RP and SP approaches (having confounded time valuation and<br />

traffic variability), are harder <strong>to</strong> integrate in<strong>to</strong> the modeling suite. In contrast, the options approach<br />

allows unreliability <strong>to</strong> be introduced directly in<strong>to</strong> traditional, volume-delay specifications used in<br />

travel model platforms. Since its primary empirical input is speed-distributional information, it<br />

imposes light additional burdens on the modeler. The required data on speed variations is plentiful,<br />

easily calculated from loop-detec<strong>to</strong>r his<strong>to</strong>ries, and can be made idiosyncratic <strong>to</strong> individual network<br />

links. For the same reason, the approach is friendlier in micro simulation model settings.<br />

DETERMINING THE ECONOMIC BENEFITS OF IMPROVING TRAVEL-TIME RELIABILITY Page B-39

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