Decision Support for Dynamic Risks: Predicting Transportation Costs
The COVID-19 pandemic resulted in significant supply chain disruptions across many industries, with disruptions caused by both increases in demand, reductions in available supply, and changes in transportation availability. These supply disruptions hurt the US economy and disproportionately negatively impacted vulnerable populations. Initial research results on the project Decision Support for Dynamic Risks to Improve Supply Chain Resilience has underscored the importance of forecasting sources of risk in order to improve the management of transportation and supply chain systems. However, current research on demand forecasting relies on models that assume a stationary stochastic process. Such an assumption is not consistent with the rapid changes observed during a risk event such as the COVID-19 pandemic. This research seeks to continue prior work by partnering with industry to inform risk prediction models with real-world data. In particular, this research seeks to partner with companies in the transportation sector to develop methods to forecast transportation availability and transportation costs. The results of this research are anticipated to serve as inputs to a decision support tool to improve the management of transportation and supply chain networks in the event of systemic risk events.
- Record URL:
Language
- English
Project
- Status: Active
- Funding: $148,850.00
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Contract Numbers:
69A3552348307
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Sponsor Organizations:
Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Managing Organizations:
Mid-America Transportation Center
University of Nebraska-Lincoln
2200 Vine Street, PO Box 830851
Lincoln, NE United States 68583-0851 -
Project Managers:
Stearns, Amy
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Performing Organizations:
University of Missouri, St. Louis
1 University Boulevard
St. Louis, MO United States 63121-4400 -
Principal Investigators:
Hupman, Andrea
Li, Haitao
Enayati, Shakiba
Encarnacion, Trilce
Akenroye, Temidayo
- Start Date: 20240601
- Expected Completion Date: 20260630
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers Program
Subject/Index Terms
- TRT Terms: Decision support systems; Disaster resilience; Predictive models; Risk assessment; Supply chain management
- Subject Areas: Economics; Freight Transportation; Planning and Forecasting;
Filing Info
- Accession Number: 01971692
- Record Type: Research project
- Source Agency: Mid-America Transportation Center
- Contract Numbers: 69A3552348307
- Files: UTC, RIP
- Created Date: Nov 18 2025 2:00PM