A storage and transportation model of the U.S. feed grain industry was developed to measure the potential impacts of demand-sensitive rail rates. At the national level, a 5 to 15 percent change in rail rates simultaneously increased rail revenue and traffic volume and reduced seasonality of rail demand. As a consequence, total system costs increased. Regional results differed slightly.