Methods and Tools for Freight Flow Disaggregation

In this research, the authors present models and tools that can be applied (as is) to estimate disaggregate freight flow data and support freight planning and policy. Two methods were implemented to disaggregate HIS Global Insight’s TRANSEARCH commodity freight database using inputs from Infogroup InfoUSA business and consumer contact database and Bureau of Economic Analysis (BEA) Input-Output Accounts. The first method relies on the industry proportional weighting and economic indicator regression, where the industry proportional weighting utilizes the relationship between commodity-producing and using industries. The economic indicator regression utilizes the relationship between the aggregate zone economic indicators and freight flow productions and attractions. The second method is based on industry and economic indicator proportional weighting. Similar to the first method, the industry proportional weighting utilizes the relationship between commodity-producing and using industries. Economic indicator proportional weighting is used to allocate the aggregate-level zone value to disaggregate-level zones proportionally to the shares of industry economic indicators. The additional development of GIS-based tools, implementing the methodologies, further supports the application of this research outcome in transportation planning and policy decision making.

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 24p

Subject/Index Terms

Filing Info

  • Accession Number: 01763661
  • Record Type: Publication
  • Report/Paper Numbers: TRBAM-21-03653
  • Files: TRIS, TRB, ATRI
  • Created Date: Dec 23 2020 11:08AM