Value for Money (VfM) analysis is a process used to compare the financial impacts of a Public-Private Partnership (P3) project against those of the traditional public delivery alternative. It is frequently used to evaluate P3 proposals at early stages of project development or procurement, as well as after bids are received from private development
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United States. Federal Highway Administration (2022). Evaluating Public-Private Partnership Project Delivery [fact sheet]. United States. Department of Transportation. Federal Highway Administration. https://rosap.ntl.bts.gov/view/dot/64174
United States. Federal Highway Administration. Evaluating Public-Private Partnership Project Delivery [fact sheet]. United States. Department of Transportation. Federal Highway Administration, 2022. https://rosap.ntl.bts.gov/view/dot/64174.
United States. Federal Highway Administration Evaluating Public-Private Partnership Project Delivery [fact sheet]. United States. Department of Transportation. Federal Highway Administration, 2022, ROSA P. https://rosap.ntl.bts.gov/view/dot/64174.
Under the Public-Private Partnerships (P3s) model for procuring highway facilities, a private partner participates in a long-term contract involving some combination of design, construction, financing, operations, and maintenance, including collection of toll revenues. Key issues that public agencies must consider in conducting a P3 project procure
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United States. Federal Highway Administration (2022). Conducting Procurement for Public-Private Partnerships (P3s) [fact sheet]. United States. Department of Transportation. Federal Highway Administration. https://rosap.ntl.bts.gov/view/dot/64175
United States. Federal Highway Administration. Conducting Procurement for Public-Private Partnerships (P3s) [fact sheet]. United States. Department of Transportation. Federal Highway Administration, 2022. https://rosap.ntl.bts.gov/view/dot/64175.
United States. Federal Highway Administration Conducting Procurement for Public-Private Partnerships (P3s) [fact sheet]. United States. Department of Transportation. Federal Highway Administration, 2022, ROSA P. https://rosap.ntl.bts.gov/view/dot/64175.
The use of Public-Private Partnerships (P3s) marks a shift away from traditional ways of procuring and financing highway projects. Under the P3 model, a private partner participates in a long-term contract involving some combination of design, construction, financing, operations, and maintenance, including collection of toll revenues. Under traditi
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United States. Federal Highway Administration (2022). Risk Valuation and Allocation For Public-Private Partnerships (P3s) [fact sheet]. United States. Department of Transportation. Federal Highway Administration. https://rosap.ntl.bts.gov/view/dot/64172
United States. Federal Highway Administration. Risk Valuation and Allocation For Public-Private Partnerships (P3s) [fact sheet]. United States. Department of Transportation. Federal Highway Administration, 2022. https://rosap.ntl.bts.gov/view/dot/64172.
United States. Federal Highway Administration Risk Valuation and Allocation For Public-Private Partnerships (P3s) [fact sheet]. United States. Department of Transportation. Federal Highway Administration, 2022, ROSA P. https://rosap.ntl.bts.gov/view/dot/64172.
The United States Department of Transportation (USDOT) recognizes that cooperative automated driving systems will have a transformative impact on how the nation’s highways will operate in the future. One of the proposed near-term services is truck platooning. Truck platooning promises fuel savings to platooning trucks by enabling them to follow eac
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Asare, S., Chang, J., & Staples, B. (2022). Truck Platooning Early Deployment Assessment – Independent Evaluation: Expanded Analysis Plan (Report No. FHWA-JPO-22-962). United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office. https://rosap.ntl.bts.gov/view/dot/64246
Asare, Sampson, James Chang, and Barbara Staples. Truck Platooning Early Deployment Assessment – Independent Evaluation: Expanded Analysis Plan. Report no. FHWA-JPO-22-962. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2022. https://rosap.ntl.bts.gov/view/dot/64246.
Asare, Sampson, et al. Truck Platooning Early Deployment Assessment – Independent Evaluation: Expanded Analysis Plan. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2022, Report no. FHWA-JPO-22-962, ROSA P. https://rosap.ntl.bts.gov/view/dot/64246.
United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information
2022-07-15
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The Weekly Gasoline Product Supplied Report offers insight on weekly fluctuation of the gasoline product supply, which is an important part of any analysis of construction trends, materials and operating costs associated with highway repair and construction, and changes in traffic volume. These data come directly from the Energy Information Adminis
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United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information (2022). Special Issue - Weekly Motor Fuel Report: Gasoline Product Supplied for Fiscal Year Week No. 42, Data complete through 7/15/2022. United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information. https://rosap.ntl.bts.gov/view/dot/63179
United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information. Special Issue - Weekly Motor Fuel Report: Gasoline Product Supplied for Fiscal Year Week No. 42, Data complete through 7/15/2022. United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information, 2022. https://rosap.ntl.bts.gov/view/dot/63179.
United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information Special Issue - Weekly Motor Fuel Report: Gasoline Product Supplied for Fiscal Year Week No. 42, Data complete through 7/15/2022. United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information, 2022, ROSA P. https://rosap.ntl.bts.gov/view/dot/63179.
United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information
2022-07-14
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On a monthly basis, each State is required to report to the Federal Highway Administration (FHWA), the amount of gallons taxed by that state. This data is analyzed and compiled by FHWA staff. The data on the amount of on-highway fuel use for each State is then used to attribute federal revenue to each State. Yearly, the FHWA, Office of Policy, prov
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United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information (2022). Monthly Motor Fuel Reported by States: March 2022 (Report No. FHWA-PL-22-019). United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information. https://rosap.ntl.bts.gov/view/dot/64167
United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information. Monthly Motor Fuel Reported by States: March 2022. Report no. FHWA-PL-22-019. United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information, 2022. https://rosap.ntl.bts.gov/view/dot/64167.
United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information Monthly Motor Fuel Reported by States: March 2022. United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information, 2022, Report no. FHWA-PL-22-019, ROSA P. https://rosap.ntl.bts.gov/view/dot/64167.
United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office
2022-07-11
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This document serves as a use case for conducting Benefit-Cost Analysis (BCA)for a hypothetical managed lanes project. Managed lanes are highway facilities – or a set of lanes – where operational strategies are proactively implemented and managed in response to changing conditions (Source: FHWA Managed Lanes). Specific deployments and applications
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United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office (2022). Use Case: Managed Lanes Benefit-Cost Analysis. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office. https://rosap.ntl.bts.gov/view/dot/65727
United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office. Use Case: Managed Lanes Benefit-Cost Analysis. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2022. https://rosap.ntl.bts.gov/view/dot/65727.
United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office Use Case: Managed Lanes Benefit-Cost Analysis. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2022, ROSA P. https://rosap.ntl.bts.gov/view/dot/65727.
United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office
2022-07-11
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This document serves as a use case for conducting Benefit-Cost Analysis (BCA) for a hypothetical smart work zone project. Maintenance and construction activities are a necessary part of upgrading transportation infrastructure to meet today’s needs. To support these construction and maintenance activities, work zones are required and may involve lan
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United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office (2022). Use Case: Smart Work Zone Benefit-Cost Analysis. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office. https://rosap.ntl.bts.gov/view/dot/65728
United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office. Use Case: Smart Work Zone Benefit-Cost Analysis. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2022. https://rosap.ntl.bts.gov/view/dot/65728.
United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office Use Case: Smart Work Zone Benefit-Cost Analysis. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2022, ROSA P. https://rosap.ntl.bts.gov/view/dot/65728.
United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office
2022-07-11
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This document serves as a use case for conducting Benefit-Cost Analysis (BCA) for a hypothetical curve speed warning project. Crashes occurring at locations with curves are common with passenger vehicles as well as with heavy vehicles or trucks. When crashes occur, they often result in property damage, injury or a higher-than-average percent of fat
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United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office (2022). Use Case: Curve Speed Warning Benefit-Cost Analysis. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office. https://rosap.ntl.bts.gov/view/dot/65726
United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office. Use Case: Curve Speed Warning Benefit-Cost Analysis. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2022. https://rosap.ntl.bts.gov/view/dot/65726.
United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office Use Case: Curve Speed Warning Benefit-Cost Analysis. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2022, ROSA P. https://rosap.ntl.bts.gov/view/dot/65726.
United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office
2022-07-11
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This document serves as a use case for conducting Benefit-Cost Analysis (BCA) for a hypothetical transit signal priority project. Transit signal priority (TSP) is an operational strategy that is applied to reduce the delay transit vehicles experience at traffic signals. TSP involves communication between buses and traffic signals so that a signal c
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United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office (2022). Use Case: Transit Signal Priority Benefit-Cost Analysis. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office. https://rosap.ntl.bts.gov/view/dot/65729
United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office. Use Case: Transit Signal Priority Benefit-Cost Analysis. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2022. https://rosap.ntl.bts.gov/view/dot/65729.
United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office Use Case: Transit Signal Priority Benefit-Cost Analysis. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2022, ROSA P. https://rosap.ntl.bts.gov/view/dot/65729.
United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office
2022-07-08
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This document serves as a use case for conducting Benefit-Cost Analysis for a hypothetical adaptive signal control project. Adaptive signal control adjusts the timing of red, yellow, and green lights to accommodate changing traffic patterns and ease traffic congestion. The main benefits of adaptive signal control systems compared to conventional si
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United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office (2022). Use Case: Adaptive Signal Control Benefit-Cost Analysis. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office. https://rosap.ntl.bts.gov/view/dot/65725
United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office. Use Case: Adaptive Signal Control Benefit-Cost Analysis. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2022. https://rosap.ntl.bts.gov/view/dot/65725.
United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office Use Case: Adaptive Signal Control Benefit-Cost Analysis. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2022, ROSA P. https://rosap.ntl.bts.gov/view/dot/65725.
United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information
2022-07-08
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The Weekly Gasoline Product Supplied Report offers insight on weekly fluctuation of the gasoline product supply, which is an important part of any analysis of construction trends, materials and operating costs associated with highway repair and construction, and changes in traffic volume. These data come directly from the Energy Information Adminis
...
United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information (2022). Special Issue - Weekly Motor Fuel Report: Gasoline Product Supplied for Fiscal Year Week No. 41, Data complete through 7/8/2022. United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information. https://rosap.ntl.bts.gov/view/dot/63178
United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information. Special Issue - Weekly Motor Fuel Report: Gasoline Product Supplied for Fiscal Year Week No. 41, Data complete through 7/8/2022. United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information, 2022. https://rosap.ntl.bts.gov/view/dot/63178.
United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information Special Issue - Weekly Motor Fuel Report: Gasoline Product Supplied for Fiscal Year Week No. 41, Data complete through 7/8/2022. United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information, 2022, ROSA P. https://rosap.ntl.bts.gov/view/dot/63178.
United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office
2022-07-05
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This infographic highlights how connected vehicle technologies can improve pedestrian safety.
United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office (2022). Enhancing Pedestrian Safety with Connected Vehicle Technologies. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office. https://rosap.ntl.bts.gov/view/dot/65720
United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office. Enhancing Pedestrian Safety with Connected Vehicle Technologies. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2022. https://rosap.ntl.bts.gov/view/dot/65720.
United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office Enhancing Pedestrian Safety with Connected Vehicle Technologies. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2022, ROSA P. https://rosap.ntl.bts.gov/view/dot/65720.
This report describes the best practices used in developing cost estimates and provides guidance for overseeing the development of such estimates. It serves as a line of communication among different State and Federal agencies involved in the creation and oversight of cost estimates. Private parties, such as contractors and consultants, can also be
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Nevett, G., & Goodrum, P. M. (2022). Assessment of Federal Highway Administration Highway Project Cost Estimation Tools (Report No. FHWA-HRT-22-075). United States. Department of Transportation. Federal Highway Administration. Office of Infrastructure Research and Development. https://rosap.ntl.bts.gov/view/dot/63517
Nevett, Guillermo and Paul M. Goodrum. Assessment of Federal Highway Administration Highway Project Cost Estimation Tools. Report no. FHWA-HRT-22-075. United States. Department of Transportation. Federal Highway Administration. Office of Infrastructure Research and Development, 2022. https://rosap.ntl.bts.gov/view/dot/63517.
Nevett, Guillermo, and Paul M. Goodrum Assessment of Federal Highway Administration Highway Project Cost Estimation Tools. United States. Department of Transportation. Federal Highway Administration. Office of Infrastructure Research and Development, 2022, Report no. FHWA-HRT-22-075, ROSA P. https://rosap.ntl.bts.gov/view/dot/63517.
United States. Department of Transportation. Federal Highway Administration
2022-07-01
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The amount of funding provided by BIL for the Ferry Boat Program (FBP) will rise approximately 123%, to $178 M in FY22 from $80 M in FY21. Over the five years of the BIL, eligible entities will receive approximately 128% more under this program, as compared to the amounts authorized in the FAST Act (FY16-20).
United States. Department of Transportation. Federal Highway Administration (2022). Ferry Boat Program (FBP). United States. Department of Transportation. Federal Highway Administration. https://rosap.ntl.bts.gov/view/dot/78844
United States. Department of Transportation. Federal Highway Administration. Ferry Boat Program (FBP). United States. Department of Transportation. Federal Highway Administration, 2022. https://rosap.ntl.bts.gov/view/dot/78844.
United States. Department of Transportation. Federal Highway Administration Ferry Boat Program (FBP). United States. Department of Transportation. Federal Highway Administration, 2022, ROSA P. https://rosap.ntl.bts.gov/view/dot/78844.
Asset management for intelligent transportation systems (ITS) is still a relatively new concept. ITS have played an important role in improving the safety, efficiency, and overall performance of the transportation system. ITS asset management helps transportation agencies better manage, operate, maintain, and expand their ITS while maintaining perf
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Birriel, E., Lukasik, D., Cleary, C., Clark, T., & Malone, T. (2022). Performance Measures and Health Index of Intelligent Transportation Systems Assets (Report No. FHWA-HOP-20-025). United States. Federal Highway Administration. Office of Safety and Operations Research and Development. https://rosap.ntl.bts.gov/view/dot/75694
Birriel, Elizabeth, Dan Lukasik, Carole Cleary, Tom Clark, and Teresa Malone. Performance Measures and Health Index of Intelligent Transportation Systems Assets. Report no. FHWA-HOP-20-025. United States. Federal Highway Administration. Office of Safety and Operations Research and Development, 2022. https://rosap.ntl.bts.gov/view/dot/75694.
Birriel, Elizabeth, et al. Performance Measures and Health Index of Intelligent Transportation Systems Assets. United States. Federal Highway Administration. Office of Safety and Operations Research and Development, 2022, Report no. FHWA-HOP-20-025, ROSA P. https://rosap.ntl.bts.gov/view/dot/75694.
United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information
2022-07-01
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Traffic Volume Trends is a monthly report based on hourly traffic count data reported by the States. These data are collected at approximately 5,000 continuous traffic counting locations nationwide and are used to estimate the percent change in traffic for the current month compared with the same month in the previous year. Estimates are re-adjuste
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United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information (2022). Traffic Volume Trends: July 2022. United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information. https://rosap.ntl.bts.gov/view/dot/64306
United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information. Traffic Volume Trends: July 2022. United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information, 2022. https://rosap.ntl.bts.gov/view/dot/64306.
United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information Traffic Volume Trends: July 2022. United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information, 2022, ROSA P. https://rosap.ntl.bts.gov/view/dot/64306.
United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information
2022-07-01
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FHWA has constructed a national vehicle miles traveled (VMT) forecasting model where future VMT growth rates can be estimated for three major economic scenarios - normal, pessimistic, and optimistic growth. The normal growth scenario represents the most Likely economic outlook reflects IHS' assessment of most probable future trends in U.S. populati
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United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information (2022). FHWA Forecasts of Vehicle Miles Traveled (VMT): July 2022. United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information. https://rosap.ntl.bts.gov/view/dot/66394
United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information. FHWA Forecasts of Vehicle Miles Traveled (VMT): July 2022. United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information, 2022. https://rosap.ntl.bts.gov/view/dot/66394.
United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information FHWA Forecasts of Vehicle Miles Traveled (VMT): July 2022. United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information, 2022, ROSA P. https://rosap.ntl.bts.gov/view/dot/66394.
United States. Department of Transportation. Federal Highway Administration
2022-07-01
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The BIL continues to allocate FLTP funds for projects on Federal lands transportation facilities, which are facilities within or adjacent to, or that provide access to, Federal lands (national forests, national parks, national wildlife refuges, national recreation areas, and other Federal public lands) which are owned and maintained by the Federal
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United States. Department of Transportation. Federal Highway Administration (2022). Federal Lands Transportation Program (FLTP). United States. Department of Transportation. Federal Highway Administration. https://rosap.ntl.bts.gov/view/dot/78729
United States. Department of Transportation. Federal Highway Administration. Federal Lands Transportation Program (FLTP). United States. Department of Transportation. Federal Highway Administration, 2022. https://rosap.ntl.bts.gov/view/dot/78729.
United States. Department of Transportation. Federal Highway Administration Federal Lands Transportation Program (FLTP). United States. Department of Transportation. Federal Highway Administration, 2022, ROSA P. https://rosap.ntl.bts.gov/view/dot/78729.
United States. Department of Transportation. Federal Highway Administration
2022-07-01
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The BIL continues the Emergency Relief program, which provides funds for emergency repairs and permanent repairs on Federal-aid highways and roads, tribal transportation facilities, and roads on Federal lands that the Secretary finds have suffered serious damage as a result of natural disasters or catastrophic failure from an external cause.
United States. Department of Transportation. Federal Highway Administration (2022). Emergency Relief Program (ER). United States. Department of Transportation. Federal Highway Administration. https://rosap.ntl.bts.gov/view/dot/78727
United States. Department of Transportation. Federal Highway Administration. Emergency Relief Program (ER). United States. Department of Transportation. Federal Highway Administration, 2022. https://rosap.ntl.bts.gov/view/dot/78727.
United States. Department of Transportation. Federal Highway Administration Emergency Relief Program (ER). United States. Department of Transportation. Federal Highway Administration, 2022, ROSA P. https://rosap.ntl.bts.gov/view/dot/78727.
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