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Rail Freight Shift Feasibility

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A high level analysis of which facilities in the nation’s freight rail network could best make use of American Recovery and Reinvestment Act of 2009 funds to have the greatest impact on the overall energy efficiency of the nation’s freight fleet and thus yield the greatest social, economic and environmental benefits.

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Rail Freight Shift Feasibility

  1. 1. Analysis of Intermodal Transport Hubs Best Suited for Increased Federal Infrastructure Spending Marco A. Falconi GIS 200 E86L Fall 2009
  2. 2. Project Proposal <ul><li>Perform a high level analysis of which facilities in the nation’s freight rail network could best make use of American Recovery and Reinvestment Act of 2009 funds to have the greatest impact on the overall energy efficiency of the nation’s freight fleet and thus yield the greatest social, economic and environmental benefits. </li></ul>
  3. 3. Rail Primer <ul><li>Fuel Efficiency: 436 ton-miles/gallon of diesel </li></ul><ul><li>Highway Safety: Removes trucks from roads </li></ul><ul><li>Centrally Manageable </li></ul><ul><li>Maximize utility of past expenditures </li></ul><ul><li>Reduce highway maintenance costs </li></ul><ul><li>Throughput dependent on yard efficiency </li></ul>
  4. 4. CO 2 Emissions by Mode
  5. 7. Objectives <ul><li>Find the volume of truck freight originating from different regions in U.S. </li></ul><ul><li>Determine areas with highest amount of outgoing freight </li></ul><ul><li>Catalogue intermodal facilities in study area </li></ul><ul><li>Define suitable sites for increased infrastructure spending </li></ul>
  6. 8. Sample of FAF Commodity Database 324, 177 Origin-Destination Pairs Domestic 08 Origin O Destination D Commodity Mode Mdol Kton VA Virgi VA MI Detro MI Chemical prods. Truck 0.830222574958635 0.215314541062031 MA rem MA TX rem TX Textiles/leather Air & Truck 0.830234060626129 3.16998459511795E-02 OR Portl OR MT MT Basic chemicals Truck 0.830241442901975 24.6375538053975 ND ND MI Detro MI Cereal grains Truck 0.83027766431505 14.7188048195552 CT rem CT TX Dalla TX Paper articles Truck 0.830287575877158 0.567660672986829 VA rem VA NC rem NC Building stone Truck 0.830294330652075 7.82399555046327 PA Phila PA RI RI Tobacco prods. Truck 0.830298304076233 6.5874880357497E-03 NC Green NC NC Charl NC Transport equip. Other Intermodal 0.830320552960404 1.74889004230499E-02 NC Green NC IN India IN Transport equip. Other Intermodal 0.830320552960404 0.403119154751301 IN Chica IN IN India IN Precision instruments Truck 0.830397547647117 0.128123379706235 CA San J CA FL Miami FL Furniture Other Intermodal 0.830399110021491 3.32289108037949E-02 TN Memph TN ID ID Machinery Other Intermodal 0.830444551255483 1.21110635429621 WA rem WA UT rem UT Pharmaceuticals Pipeline & Unknown 0.830482038851016 1.20491437911987E-02
  7. 11. Top Exporting Regions <ul><li>29 - IL Chicago </li></ul><ul><li>- CA Los Angeles-Long Beach-Riverside </li></ul><ul><li>101- Remainder of Texas </li></ul><ul><li>- Remainder of California </li></ul><ul><li>- Remainder of Florida </li></ul><ul><li>- Atlanta-Sandy Springs-Gainesville, GA </li></ul><ul><li>- Houston-Baytown-Huntsville, TX </li></ul><ul><li>- Iowa </li></ul><ul><li>- Remainder of Illinois </li></ul><ul><li>- Remainder of Indiana </li></ul><ul><li>- Remainder of Pennsylvania </li></ul><ul><li>- Minneapolis-St Paul-St Cloud, MN-WI </li></ul><ul><li>- Remainder of Ohio </li></ul><ul><li>- Remainder of Kansas </li></ul><ul><li>113 - Remainder o f Wisconsin </li></ul><ul><li>- Remainder of Tennessee </li></ul><ul><li>- Nebraska </li></ul><ul><li>11 - San Jose-San Francisco-Oakland, CA </li></ul><ul><li>- Dallas-Fort Worth, TX </li></ul><ul><li>- Remainder of Alabama </li></ul><ul><li>- Remainder of North Carolina </li></ul><ul><li>25 - Remainder of Georgia </li></ul>Responsible for 46% of all outgoing truck freight volume
  8. 13. Analysis for Secondary Selection Criteria <ul><li>Other factors being equal, spending should be brought to economically depressed areas </li></ul><ul><li>Vacant housing units are correlated to the economic situation </li></ul><ul><li>Census data available at county level </li></ul><ul><li>The rail freight bottleneck </li></ul><ul><li>“ Bang for the buck” </li></ul>
  9. 15. Making the Final Selection <ul><li>Inspection Method </li></ul><ul><li>Pertinent Data Visible </li></ul><ul><li>Spatial Distribution </li></ul><ul><li>Road Connectivity </li></ul><ul><li>Economics of region </li></ul><ul><li>101 Final Candidates </li></ul>
  10. 18. Conclusions <ul><li>101 Intermodal Facilities </li></ul><ul><li>41 Truck & Rail </li></ul><ul><li>60 Truck, Rail and Port </li></ul><ul><li>Accessibility – Ring Buffers </li></ul><ul><li>Potential to affect 31% of all domestic freight </li></ul><ul><li>Environmental Benefits </li></ul><ul><li>Economic Benefits – Lower prices and/or price volatility </li></ul>
  11. 19. Suggestions for Further Research <ul><li>Finer resolution O-D pair data </li></ul><ul><li>Would make routing possible </li></ul><ul><li>Generate exact times, distances, costs </li></ul><ul><li>Compare to routes on National Highway and State Truck Route Network </li></ul><ul><li>May change rationale to impacting kton-miles </li></ul><ul><li>Develop quantified throughputs for facilities </li></ul><ul><li>Parcel cost data for areas surrounding facilities </li></ul>
  12. 20. Sources <ul><li>Bureau of Transportation Statistics, National Transportation Atlas Database http://www.bts.gov/publications/national_transportation_atlas_database/2009/ </li></ul><ul><li>U.S. Department of Transportation Federal Highway Administration Freight Management and Operation, Freight Analysis Framework </li></ul><ul><li>http://ops.fhwa.dot.gov/freight/freight_analysis/faf/index.htm </li></ul><ul><li>CarbonFund.org http://www.carbonfund.org/site/pages/carbon_calculators/category/Assumptions </li></ul><ul><li>U.S. Census Bureau </li></ul><ul><li>http://www.census.gov/ </li></ul>

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