Dynamic freight flow modelling for risk evaluation in food supply

This paper presents a calibrated dynamic multi-scale multi-regional input–output (MSMRIO) model of the German food supply system based on real data. The model comprises 51 commodity groups from farm to fork differentiating three different temperature ranges as well as living animals. Spatially, it works on an aggregate level of 402 regions within Germany as well as its 50 most important trading nations. It determines the commodity flows and the additionally needed transport capacity in case of disruptions. Showing how changes in production, inventories, sourcing, and consumption affect commodity flows, the model uncovers vulnerabilities and makes risk evaluation possible.

• Record URL:
  https://doi.org/10.1016/j.tre.2018.03.002
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S136655451730176X
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/13665545
• Supplemental Notes:
  • © 2018 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Balster, Andreas
  • Friedrich, Hanno
• Publication Date: 2019-1

Language

• English

Media Info

• Media Type: Digital/other
• Features: Appendices; Figures; References; Tables;
• Pagination: pp 4-22
• Serial:
  • Transportation Research Part E: Logistics and Transportation Review
  • Volume: 121
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 1366-5545
  • Serial URL: http://www.sciencedirect.com/science/journal/13665545

Subject/Index Terms

• TRT Terms: Commodity flow; Food; Freight traffic; Input output models; Risk assessment
• Uncontrolled Terms: Food supply; Freight flow
• Geographic Terms: Germany
• Subject Areas: Freight Transportation; Planning and Forecasting;

Filing Info

• Accession Number: 01699567
• Record Type: Publication
• Files: TRIS
• Created Date: Mar 22 2019 4:16PM