Reliability of Toll Road Revenue Forecasts for Selected Toll Roads in the UnitedStates

摘要

This study addresses the reliability of toll road revenue forecasts by analyzinghistorical data from existing toll roads in the United States. The aggregation of this data, along with an understanding of the relationships between revenues, traffic, and toll charges, leads to the development of applicable regression models. Elasticity of demand is the key link associated with these three toll road elements. The ability to combine elasticity with the toll road aspects' relationship provides the reader with a better understanding of forecast reliability. The groundwork for establishing a computer-based error prediction model can then be explained.