Abstract
This paper explains a preliminary procedure that could be used in calibrating a logit model to predict the market allocation of one main commodity (meat) among the rail and truck modes. The problem arising from the fact that data are seldom available in a disaggregate form was overcome by applying existing models, equations and small scale surveys to decompose published consolidated information into disaggregated data. The calibration of the model according to this procedure was found to provide encouraging results.
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