To read the full version of this content please select one of the options below:

Forecasting freight demand using economic indices

Jonathon T. Fite (Accenture Consulting, Dallas, Texas, USA)
G. Don Taylor (University of Louisville, Louisville, Kentucky, USA)
John S. Usher (University of Louisville, Louisville, Kentucky, USA)
John R. English (University of Arkansas, Fayetteville, Arizona, USA)
John N. Roberts (J.B. Hunt Transportation, Lowell, Arizona, USA)

International Journal of Physical Distribution & Logistics Management

ISSN: 0960-0035

Article publication date: 1 May 2002

Downloads
2693

Abstract

This paper describes the results of an effort to predict future freight volume in the truckload (TL) trucking industry. The approach involves the use of stepwise multiple linear regression models that relate freight volume to a variety of economic indicators. The models are built using a large set of actual freight data provided by J.B. Hunt Transport (JBHT), one of the world’s largest TL carriers. The data was first analyzed using the overall set of national data, and then for specific industrial and regional segments. The overall results of these analyses should prove useful to a wide variety of transportation and logistics operations.

Keywords

Citation

Fite, J.T., Don Taylor, G., Usher, J.S., English, J.R. and Roberts, J.N. (2002), "Forecasting freight demand using economic indices", International Journal of Physical Distribution & Logistics Management, Vol. 32 No. 4, pp. 299-308. https://doi.org/10.1108/09600030210430660

Publisher

:

MCB UP Ltd

Copyright © 2002, MCB UP Limited