Developing and Applying a Methodology to Identify Flow Generation Influences between Vessel and Truck Shipments

Truck activity is logically connected to, and generated by, vessel activity at a port. In turn, vessel activity is generated by truck shipments. Although one might expect a 1-to-1 relation between the two types of shipments, that is unlikely the case. For instance, many maritime containers carry consolidated cargos that have multiple (and different) final destinations. Furthermore, different truck capacities and regulations play a critical role in determining the actual relation between these two shipment modes. A clearer and quantitative understanding of the relationship between vessel and truck shipments enables agencies and organizations to develop a system for managing trucks that maximizes efficiency for industry, while minimizing industry’s negative impacts on a region.

  • Supplemental Notes:
    • Contract to a Performing Organization has not yet been awarded.


  • English


  • Status: Completed
  • Funding: $133891
  • Contract Numbers:


  • 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:

    Maritime Transportation Research and Education Center

    University of Arkansas
    Fayetteville, AR  United States  72701
  • Performing Organizations:

    Texas A&M Transportation Institute, College Station

    Texas A&M University System
    3135 TAMU
    College Station, TX  United States  77843-3135
  • Principal Investigators:

    Kruse, Jim

    Monsreal, Mario

  • Start Date: 20171201
  • Expected Completion Date: 20190331
  • Actual Completion Date: 20190331
  • USDOT Program: University Transportation Centers

Subject/Index Terms

Filing Info

  • Accession Number: 01653838
  • Record Type: Research project
  • Source Agency: Maritime Transportation Research and Education Center
  • Contract Numbers: 69A3551747130
  • Files: UTC, RIP
  • Created Date: Dec 18 2017 11:12AM