FAF Provisional Commodity Origin Destination Data

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FAF Provisional Commodity Origin Destination
Data
Office of Freight Management and
Operations Federal Highway Administration
Tianjia Tang, PE tianjia.tang_at_dot.gov phone
202-366-2217
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What does the provisional commodity OD data
cover?

• The provisional commodity OD data
• is a comprehensive multimodal commodity origin
  destination database for the US
• has identical dimensions to the freight database
  developed under the Freight Analysis Framework II
• is released by the end of March each year
  covering the most recent past year. For example,
  in March 2007, FHWA released the provisional data
  for calendar year 2006 and in March 2008, FHWA
  will release the provisional data for calendar
  year 2007.

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What does the term of provisional data mean ?

• The term of provisional data here means that the
  dataset is the best that can be organized at the
  time with the available resources and the
  Freight Office has no plans to update this
  dataset in the future.

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Why does FHWA develop the provisional data?

• The demand of most current data from Federal,
  State, local governmental agencies and private
  organizations as the result of the FAF1 project
• The recognition of the need by various TRB
  committees and demanded by the most recent TRB
  special conference on Freight Demand Modeling
  Tools for Public-Sector Decision Making

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How to use the provisional commodity origin
destination data?

• The provisional data has identical format and
  definitions as the FAF2 commodity database.
• All database programs used in FAF2 are applicable
• The FAF2 Commodity GIS data linkage is also
  applicable.

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Who Is Involved?

• Under the leadership of the Office of Freight
  Management and Operations in FHWA, a team
  including Battelle Memorial Institute, MacroSys
  Research and Technology , and University of
  Tennessee is organized to develop the database.

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How Can You Help?

• Please provide feedback on your experience of
  using these data and suggestions on how to
  process the data and make it better.
• your feedback on what seems wrong or unfit in
  the database is even more appreciated !

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Thats All. Thank You!