Innovative Freight Production Models Using the Commodity Flow Survey: Improving Accuracy and Timeliness for Planning with Available Data

Freight activity is difficult to measure, because the operations primarily are conducted by private-sector companies, which are not inclined to share commercially sensitive data. A National Cooperative Freight Research Program (NCFRP) project has demonstrated that freight production models based on confidential microdata from the Commodity Flow Survey (CFS) can provide an efficient mechanism to monitor the geographic patterns of freight activity, using publicly available employment data. The project produced more than 1,400 freight production models, linear and nonlinear, for 37 industry sectors. This article discusses the CFS-based freight production models, the interconnection between economy and freight activity, testing the models, and enhancing the CFS to meet evolving data needs.

• Record URL:
  http://www.trb.org/Publications/Blurbs/176302.aspx
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/07386826
• Authors:
  • Holguín-Veras, José
• Publication Date: 2017-5

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; Maps; Photos; References;
• Pagination: pp 14-19
• Serial:
  • TR News
  • Issue Number: 309
  • Publisher: Transportation Research Board
  • ISSN: 0738-6826

Subject/Index Terms

• TRT Terms: Commodity flow; Data collection; Econometric models; Employment; Freight traffic measurement; Traffic models
• Identifier Terms: Commodity Flow Survey; National Cooperative Freight Research Program
• Geographic Terms: United States
• Subject Areas: Data and Information Technology; Freight Transportation; Planning and Forecasting;

Filing Info

• Accession Number: 01643026
• Record Type: Publication
• Files: TRIS, TRB, ATRI
• Created Date: Aug 3 2017 11:56AM