Long-haul versus local truck
Wednesday, June 3rd, 2009State-of-the-art metropolitan freight truck discounts models are hybrids that blend commodity flow modeling techniques with freight truck modeling techniques. Commodity flow databases tend to be relatively accurate for inter-county flows, but undercount intra-county flows because commodity flow databases rely partly on economic input-output data that ultimately are based on financial transactions between producers and consumers of goods. However, in an urban area, many freight shipping companies truck moves are not easily traced to such transactions. Moves from warehouses and distribution centers, repositioning of fleets, drayage moves, parcel delivery, and the like are generally short-distance trips in which there may not be an economic exchange of the goods from one party to another. To compensate for the lack of inclusion of the shorter distance trips in commodity flow data, and to account for types of trucks that do not carry freight, local truck trips are generated based on local employment and economic factors using trip generation rates. These trips are usually generated at the zone level and trip distribution uses methods such as gravity models. The trip rates are calibrated so that the truck traffic volumes that are generated from the combined commodity flow and locally generated truck trips match those from available truck counts. Several terms are used to refer to these two trip types, including commodity-flow trips versus locally generated trips, external versus internal truck trips and long-haul versus local truck trips. Taking advantage of the relative strength of the commodity long-haul approach and the truck short-haul approach within the same model has been called a “hybrid approach.” The two modeling frameworks – freight truck models and commodity-flow models – are described briefly in the following sections. These two models form the basis for the freight/truck hybrid forecasting procedures.