Freight Movement, Port Facilities, and Economic Competitiveness, Supplemental Task: County-to-County Freight Movement (National and State Level)
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2016-04-01
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Abstract:While commodity movement data is available from several sources, notably from the U.S. Department of Transportation’s Freight Analysis Framework (FAF), origins and destinations are heavily spatially aggregated into FAF zones, which comprise multiple counties. This makes it difficult to use FAF data for freight studies below the national level, including at the megaregion level, whose boundaries differ from FAF zones. This study disaggregates FAF3 data from the FAF zone level to the county and TAZ levels. The study uses data from multiple sources for this purpose that includes economic and sociodemographic data from the 5-year American Community Survey and the Decennial Census, transportation network locations from the U.S. Department of Transportation, tonnage-truck conversion from the Southern California Association of Governments, and geospatial boundaries from a variety of sources. The majority of these data have the advantage of being publicly available. The study employs regression analysis to establish relationships between commodity or truck trip productions and attractions, and logically related variables. These relationships are determined at the known level using ordinary Least Square (OLS) regression or spatial regression models depending on the level of autocorrelation. The regression results are then applied to the disaggregation level to obtain each area’s share of known productions and attractions. The study generates O-D tables (available as a separate file) explaining the number of truck trips between US counties and TAZs of Georgia.
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