State-of-the art of freight forecast modeling

Lessons learned and the road ahead

Joseph Ying Jun Chow, Choon Heon Yang, Amelia C. Regan

Research output: Contribution to journalArticle

Abstract

In this paper we review freight forecasting models and current advances and needs with respect to data and model development. We then present a case study to suggest which models should be developed for the State of California in the US. We suggest several alternatives including an aggregate commodity flow model, a disaggregate regional logistics model and a hybrid regional logistics model with a truck touring model. We point out however, that the data requirements for the latter model would be extensive. In addition, the development of hybrid models, for example progress in the integration of regional logistics models with urban truck touring models, will introduce new problems such as reconciling the outputs of multiple models for consistency.

Original languageEnglish (US)
Pages (from-to)1011-1030
Number of pages20
JournalTransportation
Volume37
Issue number6
DOIs
StatePublished - 2010

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road
modeling
logistics
Logistics
Trucks
forecast
state of the art
development model
commodity

Keywords

  • Activity-based
  • Commodity flow
  • Disaggregate
  • Freight demand models
  • Logistics
  • Supply chain
  • Truck tours

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Development
  • Transportation

Cite this

State-of-the art of freight forecast modeling : Lessons learned and the road ahead. / Chow, Joseph Ying Jun; Yang, Choon Heon; Regan, Amelia C.

In: Transportation, Vol. 37, No. 6, 2010, p. 1011-1030.

Research output: Contribution to journalArticle

Chow, Joseph Ying Jun ; Yang, Choon Heon ; Regan, Amelia C. / State-of-the art of freight forecast modeling : Lessons learned and the road ahead. In: Transportation. 2010 ; Vol. 37, No. 6. pp. 1011-1030.
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