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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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exclusive of delays, is begun in the next section. To the extent<br />

that linehaul delays are related to variables which also enter.the<br />

train speed function and train cargo function, the productivity re-<br />

lationships and input tradeoffs derived below will be biased. How-<br />

ever, until a reliable linehaul delay analysis is available, little<br />

can be done about this problem.<br />

Rail Productivity Relationships<br />

It is interesting at this point to investigate the rail line-<br />

haul process function, ignoring route segmentation, acceleration,<br />

deceleration, and linehaul delays. Route segmentation, by its very<br />

nature, is specific to a given trip. Ignoring it in the following<br />

analysis does not preclude examination of the effects of route char-<br />

acteristics on the output of a train. It was argued above, that, in<br />

most cases, acceleration and deceleration may be safely ignored. •<br />

Delays en route are important, as was indicated above, but will be<br />

omitted nevertheless. The <strong>for</strong>m of the linehaul process function .<br />

which omits acceleration, deceleration, route segmentation, Equa-<br />

tion (3.10) above, reduces to the folloWing when delays are ignored:<br />

Q = VC ,<br />

where Q = output of the train, in ton-miles per hour<br />

V f - cruising speed of the train, in miles per hour<br />

C = cargo weight of train, in tons.<br />

(5.33)<br />

'147

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