1 / 13

The Development of a Method to Estimate Changes in Freight Mode Share

The Development of a Method to Estimate Changes in Freight Mode Share. TRB Transportation Planning Applications Conference . Marty Milkovits Dan Beagan Elaine McKenzie . May 9, 2013. Context.

liseli
Download Presentation

The Development of a Method to Estimate Changes in Freight Mode Share

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. The Development of a Method to Estimate Changes in Freight Mode Share TRB Transportation Planning Applications Conference Marty Milkovits Dan Beagan Elaine McKenzie May 9, 2013

  2. Context • Objective: Estimate impacts of changes in commodity volumes, shipment origins/destinations, modal shares, and modal energy use and emission rates on energy and GHG emissions • Data set: Freight Analysis Framework (FAF) 3.3 commodity flow database • Key question for mode share: How much freight could be shifted to use non-trucking modes?

  3. Data • FAF 3.3 Commodity db: 2007 & Forecasts through 2050 • 49 commodities • 15K+ FAF Region OD interchanges • 3 trade types (import/export/domestic) • ~1M records with non-zero commodity flow • Modes • Truck • Rail • Water • Mixed • Pipeline

  4. Modal Share Projection Options • Discrete Choice Model • Cannot identify decision maker from aggregate commodity flows • Modal Elasticity • No cost or pricing information available • Market Segmentation • Identify markets by commodity and distance • Average truck / non-truck shares for each market

  5. Market Segmentation • Assumption • Non-truck mode shares could improve to average for each distance bin / commodity market • Approach • Calculate average mode share for 100 mile bins by commodity • Proportionally increase “underperforming” non-truck flows up to average • Reduce above average truck flows

  6. Market Segmentation • Strengths • Able to develop and implement on a national scale • Commodity specific • Leverages all data available • Limitations • Accessibility assumptions may be unreasonable for some locations

  7. Results

  8. For more information... • Project Website nrel.gov/analysis/transportation_futures/

More Related