United States. Department of Transportation. Bureau of Transportation Statistics. Office of Spatial Analysis and Visualization, United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology, & Federal Highway Administration (U.S.) (2013). Freight Analysis Framework Regions (FAFR) 2013-Present [supporting datasets]. United States. Department of Transportation. Bureau of Transportation Statistics. https://doi.org/10.21949/1520849
United States. Department of Transportation. Bureau of Transportation Statistics. Office of Spatial Analysis and Visualization, United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology, and Federal Highway Administration (U.S.). Freight Analysis Framework Regions (FAFR) 2013-Present [supporting datasets]. United States. Department of Transportation. Bureau of Transportation Statistics, 2013. https://doi.org/10.21949/1520849.
United States. Department of Transportation. Bureau of Transportation Statistics. Office of Spatial Analysis and Visualization, et al. Freight Analysis Framework Regions (FAFR) 2013-Present [supporting datasets]. United States. Department of Transportation. Bureau of Transportation Statistics, 2013, ROSA P. https://doi.org/10.21949/1520849.
The Freight Analysis Framework Regions (FAFR) 2013-Present dataset is from the Federal Highway Administration (FHWA), and part of the U.S. Department of Transportation (USDOT) National Transportation Atlas Database (NTAD). It is produced through a partnership between Bureau of Transportation Statistics (BTS) and Federal Highway Administration (FHWA) by integrating data from a variety of sources to create a comprehensive picture of freight movement among states and major metropolitan areas by all modes of transportation. The spatial component of the FAF network is derived from National Highway System Version 2016.09 and contains state primary and secondary roads, National Highway System (NHS), National Network (NN) and several intermodal connectors as appropriate for the freight network modeling. The network consists of over 440,000 miles of equivalent road mileage. The data set covers the 48 contiguous States plus the District of Columbia, Alaska, and Hawaii.
The Freight Analysis Framework Network (FAFN) 2003-Present dataset is from the Federal Highway Administration (FHWA), and part of the U.S. Department
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United States. Department of Transportation. Bureau of Transportation Statistics. Office of Spatial Analysis and Visualization
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United States. Department of Transportation. Bureau of Transportation Statistics. Office of Spatial Analysis and Visualization, United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology, & Federal Highway Administration (U.S.) (2013). Freight Analysis Framework Regions (FAFR) 2013-Present [supporting datasets]. United States. Department of Transportation. Bureau of Transportation Statistics. https://doi.org/10.21949/1520849
United States. Department of Transportation. Bureau of Transportation Statistics. Office of Spatial Analysis and Visualization, United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology, and Federal Highway Administration (U.S.). Freight Analysis Framework Regions (FAFR) 2013-Present [supporting datasets]. United States. Department of Transportation. Bureau of Transportation Statistics, 2013. https://doi.org/10.21949/1520849.
United States. Department of Transportation. Bureau of Transportation Statistics. Office of Spatial Analysis and Visualization, et al. Freight Analysis Framework Regions (FAFR) 2013-Present [supporting datasets]. United States. Department of Transportation. Bureau of Transportation Statistics, 2013, ROSA P. https://doi.org/10.21949/1520849.
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findings, journal articles, guidelines, recommendations, or other information authored or co-authored by
USDOT or funded partners. As a repository, ROSA P retains documents in their original published format to
ensure public access to scientific information.
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