DESIGN OF A STRUCTURE AND DATA ANALYSIS SCHEME FOR INTERCITY FREIGHT DEMAND FORECASTING

The objective of this research effort is to detail the implications of using a disaggregate behavioral model to produce a design for a pilot program of data collection. The first step will be to review the literature on freight demand models with particular emphasis on previous research done using disaggregate demand models. A second step will be to review existing sources of data and sort them out as to their usability in a disaggregate model framework. The third step is to develop and evaluate different data collection strategies and recommend a data collection scheme which can be used economically to acquire the data needed to develop an intercity freight demand forecasting capability. Particular attention will be directed to the data collection already underway by the Bureau of the Census, Commodity Shipper Survey. The research contemplated here will also take into account recommendations by the U.S. Department of Transportation to expand the Census of Transportation.

• Corporate Authors:

  Massachusetts Institute of Technology

  Center for Transportation Studies, Room 1121
  Cambridge, MA  United States  02139
• Authors:
  • Chung, Chung Choo
  • Roberts, P O
• Publication Date: 1975-9

Media Info

• Features: Appendices; Figures; Tables;
• Pagination: 154 p.

Subject/Index Terms

• TRT Terms: Census; Commodities; Competition; Data collection; Forecasting; Freight traffic; Intercity transportation; Mathematical models; Modal split; Statistics; Traffic forecasting; Transportation modes
• Old TRIS Terms: Commodity statistics
• Subject Areas: Data and Information Technology; Freight Transportation; Railroads;

Filing Info

• Accession Number: 00174347
• Record Type: Publication
• Source Agency: Massachusetts Institute of Technology
• Report/Paper Numbers: CTS-75-15
• Contract Numbers: DOT-TSC-1005
• Files: TRIS
• Created Date: May 31 1978 12:00AM