ESTIMATING SERVICE-DIFFERENTIATED TRANSPORT DEMAND FUNCTIONS

This paper develops a methodology for estimating the demand for freight transport based on a model of the shipper's decision-making process. Conditions of optimality are used to specify a choice model--subject to some assumptions about the shipper's response to the risks incurred by using the transport system. This model is expanded to allow for testing for imperfection in the goods markets. If such imperfection exists, a technique is proposed that involves generating a posterior on shipment size and the estimated choice model. The resulting expectation of the posterior, when used in combination with industry supply functions, produces demand equations. Finally, market equilibrium--where demand equals supply--are computed. /Author/

• Record URL:
  • http://onlinepubs.trb.org/Onlinepubs/trr/1978/668/668-008.pdf
• Summary URL:
  • http://scholar.google.com/scholar_lookup?title=ESTIMATING+SERVICE-DIFFERENTIATED+TRANSPORT+DEMAND+FUNCTIONS&author=A.+Daughety&author=F.+INABA&publication_year=1978
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/03611981
• Supplemental Notes:
  • This paper appeared in TRB Research Record No. 668, Freight Movement and Demand. Distribution, posting, or copying of this PDF is strictly prohibited without written permission of the Transportation Research Board of the National Academy of Sciences. Unless otherwise indicated, all materials in this PDF are copyrighted by the National Academy of Sciences. Copyright © National Academy of Sciences. All rights reserved.
• Authors:
  • Daughety, Andrew F
  • INABA, FRED S
• Publication Date: 1978

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: p. 23-30
• Monograph Title: Freight movement and demand
• Serial:
  • Transportation Research Record
  • Issue Number: 668
  • Publisher: Transportation Research Board
  • ISSN: 0361-1981

Subject/Index Terms

• TRT Terms: Decision making; Estimating; Forecasting; Freight traffic; Freight transportation; Grain elevators; Mathematical models; Modal split; Motor carriers; Regression analysis; Traffic forecasting; Traffic managers; Travel demand
• Uncontrolled Terms: Shippers
• Subject Areas: Data and Information Technology; Freight Transportation; Highways; Motor Carriers; Planning and Forecasting; Railroads;

Filing Info

• Accession Number: 00189863
• Record Type: Publication
• Files: TRIS, TRB
• Created Date: Apr 12 1979 12:00AM