A Sequential Shipper-Carrier Network Model for Predicting Freight Flows

Abstract

A sequential shipper-carrier predictive freight network model is presented. This model is applied to three detailed network data bases. The predicted arc loadings are compared to published railway arc density codes and goodness-of-fit measures are reported for the origin-destination flows of 15 commodities. A discussion of some sources of error in the model and recommendations for further research to lessen that error are given.