|Abstract or Summary
- Transportation costs compose fifty to sixty percent of
the total operating cost in the forest products industry.
This paper develops a framework for incorporating rail
transportation into a statewide multi-modal transportation
planning model. It will allow for the analysis of various
transportation scenarios that can possibly increase the
efficiency of the forest products industry by reducing
This paper has two objectives. First, to develop a
rail transport model (RTM) that is capable of predicting
shipping cost for forest products within Oregon as a
function of route alignment, grade, and volume shipped.
Second, to construct a model of the Oregon rail network. The
nodes in the network were created at rail intersections,
major cities, and towns with wood processing facilities.
The Rail Transport Model was constructed by simulating
train performance over the 47 rail routes in the state with
varying quantities of lumber, plywood, and wood chips. The
simulation results were then analyzed using simple linear
regression to produce an equation for each route that
predicts transportation cost for the quantity of wood
products shipped. The coefficient of determination (R for
the individual products varies from 0.50 to 0.99. The
average coefficient of determination for the regression
equations over all links in the rail network for lumber,
plywood, and chips is 0.736, 0.828, and 0.930 respectively.
The average coefficient of determination for the combination
of forest products is lower at 0.445.
An example of the use of transport cost equations is
developed to find the breakeven volume between truck and
rail transport for the route between Eugene and Coos Bay.