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Enhancing National Trade Network Analysis using RUBMRIO Model

The RUBMRIO Model integrates input-output, logit, and traffic assignment models to analyze trade flows in the US. It identifies economic sectors, counties, and ports while considering highway and rail modes. The model's data includes imports/exports and network details. Enhancements have led to more efficient code for network analysis and traffic assignment, with results showing impacts on intra-county trade. Future work will focus on memory-efficient traffic assignment for better trade-cost recognition.

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Enhancing National Trade Network Analysis using RUBMRIO Model

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  1. Extending the Random-Utility-Based Multi-Regional Input-Output Model (RUBMRIO) to the National Level Dr. Kara Kockelman Dr. Avinash Unnikrishnan Siva Karthik Kakaraparthi

  2. The RUBMRIO Model • Combines three distinct models: • Input-output for production • Logit model of input origins & modes • Traffic assignment • Recognizes: • 18 economic sectors • 3,109 U.S. counties • Nation’s top 34 Ports • Two modes: highway & rail

  3. Industry Sectors 1 Agriculture, Forestry, Fishing & Hunting 2 Mining 3 Construction 4 Food Manufacturing 5 Chemicals Manufacturing 6 Primary Metals Manufacturing 7 Fabricated Metals Manufacturing 8 Machinery Manufacturing 9 Electronic & Electric Equipment 10 Transportation Equipment 11 Other Durable & Non-Durable Manufacturing 12 Transportation, Communications & Utilities 13 Wholesale Trade 14 Retail Trade 15 FIRE (Finance, Insurance & Real Estate) 16 Service 17 Households 18 Government

  4. The RUBMRIO Model (2)

  5. Data Sets • Imports & Exports for nation’s top 44 ports available at USATradeOnline.gov. • Top 34 ports, each exporting >$100 million/yr., were selected from 44 available. • Caliper Corp. provided US highway network. • Rail network obtained from Census 2000. • Inter-county & county-to-port shortest paths by road & rail computed using TransCAD.

  6. Other Data Sources

  7. Export Ports

  8. List of Ports 18) Mobile, AL 19) New Orleans, LA 20) New York, NY 21) Nogales, AZ 22) Norfolk, VI 23) Ogdensburg, NY 24) Pembina, ND 25) Philadelphia, PN 26) Port Arthur, TX 27) Portland, OR 28) San Diego, CA 29) San Francisco, CA 30) Savannah, GA 31) Seattle, WA 32) St. Albans, VT 33) Tampa, FL 34) Washington, D.C.

  9. Total Exports (Million $)

  10. US Highway Network

  11. Network with County Centroids

  12. US Rail Network

  13. Road & Rail Network Details Highway Network • 359,328 links & 136,930 nodes (+3,109 CCs) • Presently streamlining network assignment code (in C++) to run efficiently on such a large network. Rail Network • 156,172 links & 119,176 nodes • 100-mile connectivity distance imposed.

  14. Traffic Assignment • Vehicle Trips due to economic flows… • Truck & Rail Trips, Work trips & Shop trips • Highway network assignment based on 1-hour user equilibrium procedure: • Production costs (& thus input prices) updated based on updated/congested travel times.

  15. CodeProgress • All Windows functions modified to generic C++ functions. • RUBMRIO code now runs on Windows & Linux. • RUBMRIO runs for Texas network (254 counties) on standard desktop. • Texas Advanced Computing Center’s supercomputers will be used to run national applications (3,109 counties).

  16. Code Progress (2) • More efficiently coded to reduce memory allocations (rather than defining new arrays). • Original twelve 3-D arrays of 183M units each  Memory alloc. = 183M × 8 (double) bytes = 1.4 GB of space per array. • Code streamlined to now use only three arrays of the same size. • 68% reduction in RAM use.

  17. Example Results:Texas Application Year 2010 Year 2020

  18. Example Results (2) Variations in Intra-County Trade Counties close to high-producers exhibit greatest % reductions, as they increase trade to those counties.

  19. Coming Work • Memory-efficient traffic assignment code is necessary to recognize network congestion for trade-cost implications. • Once assignment code is complete, trade flows between all U.S. counties will be modeled. • Case studies include impact of network improvements & disruptions on trade flows, impacts of growing export demands & shifts in commodity types demanded, & effects of system management (e.g., pricing).

  20. Thank You! Questions & Suggestions? RUBMRIO Papers available at www.ce.utexas.edu/prof/kockelman/home.html

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