The Interstate Highway System is critically important to the trucking industry. In a 2019 report to Congress, the Transportation Research Board found that much of the system is wearing out. It recommended a 20-year, US$1 trillion program of reconstruction and modernization. However, in its 2021 Infrastructure Investment & Jobs Act, Congress took no action on interstate reconstruction. Several states are considering toll financing for this purpose, but the trucking industry has long opposed any expansion of tolling, despite its need for a modernized interstate system. This paper considers four concerns of the trucking industry—toll roads used as cash cows, the high cost of collection compared with fuel taxes, little value-added for users, and double taxation (tolls and fuel taxes on the same roadway). The paper describes a sketch-level spreadsheet model of a customer-friendly approach to toll-financed reconstruction, using realistic data and assumptions, applied to a generic mid-size state seeking to rebuild four long-distance interstates. The assumptions built into the model respond to the four trucking industry concerns. The model also addresses concerns of state departments of transportation over giving up some of their declining fuel tax revenues. It estimates the net present value (NPV) of fuel tax rebates over 30 years to be less than 7% of the NPV of toll revenues. Toll financing of interstate reconstruction also relieves state fuel tax revenues of the large costs of rebuilding aging interstates. This paper is intended to offer transportation policymakers a set of policy changes that respond to the legitimate aspects of the trucking industry’s expressed concerns.


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    Title :

    Tolling Value Proposition for Trucking and State Departments of Transportation


    Additional title:

    Transportation Research Record: Journal of the Transportation Research Board


    Contributors:


    Publication date :

    2023-01-01




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



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