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Q2 Z2,(Q2) Z2(Q2) - Institute for Water Resources - U.S. Army

Q2 Z2,(Q2) Z2(Q2) - Institute for Water Resources - U.S. Army

Q2 Z2,(Q2) Z2(Q2) - Institute for Water Resources - U.S. Army

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truck sample is small ( 148 origins in January). This is due to the fact<br />

that truck transportation is particularly favorable <strong>for</strong> short haul, and<br />

little corn is grown within a short distance of Chicago. On the other<br />

hand, the few truck origins spread far away from Chicago have a lot of<br />

weight (35%) in the sample, although they hardly can be considered as<br />

typical origins of truck shipments. In that respect, it is worthwhile<br />

to point out that most of these origins are also shipping by rail. They<br />

probably use truck shipments occasionally, or have unusual characteristics.<br />

Now, the parameters of the population of truck origins have been computed<br />

on the basis of the whole sample and have been biased by the peculiar<br />

characteristics of these origins. There<strong>for</strong>e, the estimates of the money<br />

equivalents of quality differences between road transportation and the<br />

two other modes have also been biased. It is likely that more realistic<br />

estimates would have been obtained on the basis of a truck sample reduced<br />

to the "typical" origins. For the boundaries an example shows well how<br />

sensitive they are to variations of the money equivalents of quality<br />

differences. In the case of Railway C a change of the money equivalent<br />

from -3.54 to -2.54 would have reduced the radius of the circumference<br />

limit between road and rail areas from 85.31 to about 70 millimeters.<br />

Variations of the same order of magnitude have been found <strong>for</strong> the other<br />

railways.<br />

In view of these remarks our confidence in the spatial model is<br />

increased. On the basis of correct in<strong>for</strong>mation it can produce fairly accurate<br />

predictions of the choice of modes. As the results take the <strong>for</strong>m of market<br />

areas <strong>for</strong> transportation modes they are particularly convenient to generate<br />

estimates of demand <strong>for</strong> transportation and evaluate investment projects<br />

in ways of transportation.<br />

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