The objective of this research is to understand the demand for information technology among trucking companies. Of interest is the use of information technologies in both private and for-hire carrier fleet operations. A multivariate discrete technology demand model is developed using data from a large-scale survey of the trucking industry in California. In addition to offering technology providers insight into the market for current and future information technologies, the model can inform decisions made by policy analysts about public sector technology implementation aimed at congestion mitigation. The impact of congestion on trucking companies' profitability and ability to provide timely and reliable service to customers is sigificant. Successful public sector technology implementation aimed at commercial vehicle operators will be complementary to investments made by companies themselves.
