Informing Post-Disaster Restoration through Modeling Interdependent Agriculture and Transportation Networks: Data Work

Agriculture is a critical part of the U.S. economy both domestically and in terms of international exports. While disruptions due to weather can affect any sector, agriculture is unique in its time sensitivity for planting and harvesting. Additionally, agriculture is interdependent on other sectors, particularly transportation to get seed and fertilizers to fields at appropriate times and in getting products that may spoil to market efficiently. At present, available tools and models do not appropriately address the interdependencies and interactions that occur between agriculture and transportation infrastructure systems during times of disruption as well as the importance of restoration of these systems post-event. A multi-institutional collaborative project between the University of Arkansas and Vanderbilt University sought to develop optimized models which determine how to effectively use transportation and coordinated restoration efforts to make agricultural supply chains more resilient through combined mathematical modeling approaches with visualization and simulation using geographic information systems (GIS) for the state of Arkansas as a case study example. Vanderbilt University team members provided support on the project throughout, but it was primarily focused on data acquisition, management (formatting and cleaning), analysis, and visualization across both the agriculture and transportation sectors to support the mathematical models. Vanderbilt’s team utilized publicly available GIS data to represent components across the agricultural supply chain, the multimodal transportation network, and other critical infrastructure to provide a foundation for the modeling efforts of the University of Arkansas team members. The Vanderbilt team also investigated historic disruptive events to inform scenarios for analysis by the team with considerations for potential impacts and network routing needs to inform optimization of restoration the transportation system for minimized impacts to agricultural production.

• Record URL:
  • https://doi.org/10.5281/zenodo.10648452
• Record URL:
  • https://martrec.uark.edu/research/completedprojects/vu_portion_of_post_disaster_report_acc.pdf
• Dataset URL:
  • https://zenodo.org/doi/10.5281/zenodo.5818072
• Record URL:
  • https://rosap.ntl.bts.gov/view/dot/73426
• Dataset URL:
  • https://rosap.ntl.bts.gov/view/dot/61385
• Supplemental Notes:
  • This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program. Supporting dataset available at: https://rosap.ntl.bts.gov/view/dot/61385; https://zenodo.org/doi/10.5281/zenodo.5818072
• Corporate Authors:

  Maritime Transportation Research and Education Center (MarTREC)

  University of Arkansas
  4190 Bell Engineering Center
  Fayetteville, AR  United States  72701

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Authors:
  • Camp, Janey
  • Turner, Katherine
  • Laning, Nicholas
  • Pinkley, Sarah G Nurre
  • Sullivan, Kelly M
  • Runkle, Benjamin R K
  • Bui, Hieu T
  • Khatamov, Jakhongir
• Publication Date: 2023-12

Language

• English

Media Info

• Media Type: Digital/other
• Edition: Final Research Report
• Features: Appendices; Figures; Maps; References; Tables;
• Pagination: 31p

Subject/Index Terms

• TRT Terms: Agriculture; Data analysis; Disaster resilience; Mathematical models; Service disruption; Supply chain management; Transportation
• Geographic Terms: Arkansas
• Subject Areas: Freight Transportation; Planning and Forecasting; Security and Emergencies;

Filing Info

• Accession Number: 01908448
• Record Type: Publication
• Contract Numbers: 69A3551747130
• Files: UTC, NTL, TRIS, USDOT
• Created Date: Feb 20 2024 9:14AM