Data-based Model for Regional Freight Demand

Freight movements are a major part of the transportation system in the United States, and the efficient movement of goods is essential for the economic vitality of regions across the country. In order to analyze and design freight systems, it is necessary to have reliable models for the types and quantities of commodities that are produced and attracted across regions. The proposed research project is develop freight demand models based on available freight and economic data that are aggregated at regional scales. The objective is to relate the generation of freight demand in terms of origins and destinations for several different commodities based on the spatial distribution of industry and population. The approach will be to use regression techniques to identify how demand for freight services is related to the economic activity in each region as described by the employment in different industrial sectors. Additional steps will be taken to identify the potential of using economic input-output data, which quantifies transactions between industrial sectors, to develop reliable models for the distribution of commodity flows within and between regions. The proposed models will be valuable for facilitating analysis of freight demand in response to growth or changes in economic activity.

  • Record URL:
  • Supplemental Notes:
    • Contract to a Performing Organization has not yet been awarded.


  • English


  • Status: Completed
  • Funding: $128390.00
  • Contract Numbers:



  • Sponsor Organizations:

    Research and Innovative Technology Administration

    University Transportation Centers Program
    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590
  • Start Date: 20120602
  • Expected Completion Date: 0
  • Actual Completion Date: 20160131
  • Source Data: RiP Project 39219

Subject/Index Terms

Filing Info

  • Accession Number: 01556874
  • Record Type: Research project
  • Source Agency: New England University Transportation Center
  • Contract Numbers: DTRT12-G-UTC01, UMAR24-21A
  • Files: UTC, RiP
  • Created Date: Mar 13 2015 1:00AM