Importance of the Commodity Flow Survey (CFS) in Developing the Freight Analysis Framework (FAF)

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1 Bureau of Transportation Statistics Importance of the Commodity Flow Survey (CFS) in Developing the Freight Analysis Framework (FAF) Annual Meeting Transportation Research Board January 14, 2015 Michael Sprung

2 Freight Analysis Framework (FAF) A database of regional freight flows by tons and value for all modes, annual provisional updates, and long-range forecasts Value Weight Ton-Miles Distance Band Cumulative Cumulative Cumulative Percent Percent Percent (miles) Percent Percent Percent Below ,000-1, ,500-2, Over 2, An assignment of the average number of freight-hauling trucks to individual highway segments on the national network 2

3 FAF Databases Origin-Destination Database Tons & value Origin/destination All modes Commodity detail Access with data software or create subsets using the online data extraction tool Network Database Payloads (trucks) on highway segments No origin/destination Truck only No commodity detail Access with GIS software 3

4 FAF Origin-Destination Database Details Value & weight for all domestic, export, & import shipments 8 modes (truck, rail, water, air, multiple modes & mail, pipeline, other & unknown, and no domestic mode) 43 Commodity classes (2-digit SCTG codes) 123 Domestic regions 8 International regions 4

5 FAF Regions 5

6 Major FAF O-D Data Sources Commodity Flow Survey (BTS/Census) TransBorder Freight Data (BTS) U.S. Merchandise Trade Statistics (Census) Waterborne Commerce Statistics (USACE) T-100 Air Traffic Data (BTS) Census of Agriculture (USDA) Crude Oil and Natural Gas Annual Data (EIA) Industry Input-Output Accounts (BEA) County Business Patterns Data (Census) 6

7 Census Commodity Flow Survey (CFS) data: multimodal domestic shipper based Multimodal flows of: Crude petroleum Natural gas Petroleum products Flows associated with industrial sectors of: Farm-based Fisheries Logging Construction Retail Services Municipal solid waste Household/business moves International flows: Transborder (all modes) Deep sea shipping Air freight Multimodal domestic commodity flows with value and weight CFS in-scope flows Multimodal foreign & domestic commodity flows with value and weight CFS out-of-scope flows Flow matrix construction & missing flow value estimation techniques FAF Origin- Destination- Commodity-Mode (ODCM) freight flow matrix with tons & values

8 Developing CFS In-Scope FAF Estimates - USACE Waterborne Commerce Data - STB Public Use Railcar Waybill Data -Prior years CFS Data Current year CFS Data Log-linear Modeling Iterative Proportional Fitting Base year FAF ODCM matrix of freight flows (tons and dollars) Current year CFS establishment sample counts 8

9 CFS Share of FAF by Mode Weight 2007 Tons (thousands) CFS Share Mode of Transportation CFS FAF of FAF Total, All Modes 12,543,425 18,878,735 66% Truck 8,778,713 13,335,623 66% Rail 1,861,307 2,024,073 92% Water 403, ,950 62% Air (including truck and air) 3,611 4,988 72% Pipeline 650,859 1,659,060 39% Multiple modes 573, ,861 98% Other and unknown modes 271, ,181 44% Value 2007 Value (million $) CFS Share Mode of Transportation CFS FAF of FAF Total, All Modes 11,684,872 16,650,594 70% Truck 8,335,789 12,192,831 68% Rail 436, ,978 76% Water 114, ,000 54% Air (including truck and air) 252, ,019 71% Pipeline 399, ,458 51% Multiple modes 1,866,723 1,924,679 97% Other and unknown modes 279, ,630 46% 9

10 CFS Share of FAF Tonnage by Commodity 2007 Tons (thousands) CFS Share Commodity CFS FAF of FAF Total, All Commodities 12,543,425 18,878,735 66% Animals and fish 6, ,851 6% Cereal grains 514,151 1,475,408 35% Agricultural products 211, ,348 49% Animal feed and other products of animal origin 246, ,333 91% Meat and preparations 98, ,145 85% Milled grain and bakery products 120, ,903 88% Other prepared foodstuffs 468, ,309 87% Alcoholic beverages and denatured alcohol 114, ,872 81% Tobacco products 3,289 4,624 71% Monumental or building stone 28,738 57,469 50% Natural sands 460, ,898 81% Gravel and crushed stone 2,039,457 2,263,771 90% Other non-metallic minerals 272, ,185 73% Metallic ores and concentrates 76, ,451 64% Coal 1,416,187 1,444,753 98% Crude petroleum NA 836,581 0% Gasoline, aviation turbine fuel, and ethanol 959,161 1,005,614 95% Fuel oils 641, ,791 86% Other coal and petroleum products 578,188 1,295,016 45% Basic chemicals 412, ,156 89% Pharmaceutical products 19,076 20,912 91% Fertilizers 149, ,038 65% Other chemical products and preparations 123, ,078 83% 10

11 CFS Share of FAF by Commodity continued 2007 Tons (thousands) CFS Share Commodity CFS FAF of FAF Plastics and rubber 186, ,336 83% Logs and other wood in the rough 107, ,410 21% Wood products 323, ,536 78% Pulp, newsprint, paper, and paperboard 145, ,616 89% Paper or paperboard articles 82, ,157 78% Printed products 51,435 55,453 93% Articles of textiles or leather 46,728 70,178 67% Non-metallic mineral products 1,156,790 1,392,666 83% Base metal in primary or semi-finished forms 364, ,247 86% Articles of base metal 131, ,439 64% Machinery 66, ,914 36% Electronic and other electrical equipment 47,528 78,108 61% Motorized and other vehicles 133, ,635 70% Transportation equipment 6,815 8,361 82% Precision instruments and apparatus 5,668 7,440 76% Furniture, mattresses, and lighting 26,633 50,046 53% Miscellaneous manufactured products 91, ,720 82% Waste and scrap 305,878 1,324,523 23% Mixed freight 300, ,411 88% Unknown , % 11

12 Moving Forward BTS 2012 benchmark O-D data by commodity and mode Annual provisional updates FHWA Long range forecasts of O-D Network assignment of truck flows 12

13 Future Issues Integrating CFS microdata Improving methods for annual updates Greater geographic detail 13

14 Upcoming Releases 2013 annual provisional update (based on FAF3) March 2015 CFS Microdata file June 2015 FAF4 O-D data benchmarked to 2012 CFS Fall 2015 Long-range forecasts through 2045, network assignment, and highway flow maps early

15 Thank You Michael Sprung (202) For additional information on BTS programs and products visit: For additional information on USDOT freight data programs and products visit: Without Data It s Just An Opinion. 15

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