The table below outlines the changes in travel- time cost per 1,000 VMT, average speed, and pavement smoothness (IRI) under the different funding scenarios. The funding level mentioned above was reduced by 25%, 50%, and 75% to assess the changes in pavement condition and user costs. Three budget-constrained analyses were performed with HERS-ST. The Direct Effects of Highway Infrastructure Funding. HERS-ST estimated that user costs will remain virtually unchanged over the 20-year period if these improvements are made, despite an annualized growth in vehicle-miles of travel (VMT) of 2.2%. The average benefit-cost ratio of all improvements was 4.9. The HERS-ST analysis simulated the improvement of 16,263 lane-miles of highway over 20 years with a total improvement cost of $3.145 billion during the analysis period. The analysis required calibration of the HERS-ST model to reflect NDDOT highway rehabilitation practices, design standards, improvement costs, and expected deterioration rates.
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The HERS-ST software was used in conjunction with NDDOT’s Highway Performance Monitoring System to simulate pavement condition, capacity, deterioration, and rehabilitation over a 20-year analysis period. Various components of the study were coordinated with the North Dakota Department of Transportation (NDDOT) and the North Dakota Aeronautics Commission to ensure that the results were realistic and applicable to the state transportation planning process.
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HERS-ST, REMI, and Cube were used separately and in conjunction to provide a broad picture of the impacts of North Dakota’s transportation system. Executive Summary The primary objective of this study is to describe how improvements to the state’s transportation infrastructure might “enhance the business climate and the state’s competitive position in economic development, with a focus on the potential to expand the sale of goods to markets outside the state by strengthening the state’s transportation infrastructure.” Specifically, the study calls for an analysis of the benefits and costs of potential enhancements to the state’s highways to allow load limits to be raised to more efficiently move goods to market An integration of three key software models was used to perform this analysis.
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