National Highway Construction Cost Index

Monthly motor fuel sales reported by states from the U.S. Department of Transportation's Federal Highway Administrations' Monthly Motor Fuel Report, available at: https://www.fhwa.dot.gov/policyinformation/motorfuelhwy_trustfund.cfm

Includes only gallons taxed by the state and reported by wholesale distributors to State motor fuel tax agencies. It includes highway use, non-highway use, and losses.

Tax rates on motor fuel by type and state from the U.S. Department of Transportation's Federal Highway Administrations' Monthly Motor Fuel Report, available at: https://www.fhwa.dot.gov/policyinformation/motorfuelhwy_trustfund.cfm

All States levy volume taxes on gasoline and diesel fuel. Traditionally, State fuel tax rates could only be changed with legislation, but as of 2021, 10 States have variable rate motor fuel taxes. These taxes are adjusted at specified intervals annually, semi-annually, or quarterly. Adjustments to variable tax rates are announced by State tax agencies shortly before the effective date of the change.

The fuel tax rate is collected annually and therefore the semi-annual and quarterly adjustments are not captured in the data.

The Infrastructure Investment and Jobs Act also known as the Bipartisan Infrastructure Law contains billions in transportation funding. This report breaks that funding down by mode.

The objective of this project was to develop technical relationships between reliability improvement strategies and reliability performance metrics. This project defined reliability, explained the importance of travel time distributions for measuring reliability, and recommended specific reliability performance measures. The research reexamined the contribution of the various causes of nonrecurring congestion on urban freeway sections, however, some attention was also given to rural highways and urban arterials). Numerous actions that can potentially reduce nonrecurring congestion were identified with an indication of their relative importance. Models for predicting nonrecurring congestion were developed using three methods, all based on empirical procedures: The first involved before and after studies; the second was termed a 'data poor' approach and resulted in a parsimonious and easy-to-apply set of models; the third was entitled a 'data rich model' and used cross-section inputs including data on selected factors known to directly affect nonrecurring congestion. An important conclusion of the study is that actions to improve operations, reduce demand, and increase capacity all can improve travel time reliability. The 3 attached zip files contains comma separated value (.csv) files of data to support SHRP 2 report S2-L03-RR-1, Analytical procedures for determining the impacts of reliability mitigation strategies.Zip size is 1.83 MB. Files were accessed in Microsoft Excel 2016. Data will be preserved as is. To view publication see: https://rosap.ntl.bts.gov/view/dot/3605