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

Truck activity is logically connected to vessel activity at a port. In turn, vessel activity is also influenced by truck shipments. Although one might expect a direct and straightforward relation between these two types of shipments, that is rarely the case. For instance, many maritime containers carry consolidated cargos that have multiple and different final destinations. Also, different truck capacities, customs clearance and regulations play a critical role in determining the actual relation between these two types of shipments. This project aims at shedding light on the nuances of maritime and roadway flow relations by quantitatively analyzing the linkages between these two types of shipments. The study performed a statistical analysis to determine the probability distributions of vessel and truck activity, and then explore the correlation of each activity with the other. The analysis yielded coefficients that function as explanatory values for specific truck flows. The ultimate purpose of this study is to provide a clearer and quantitative understanding of the relationship between maritime and truck shipments, and by doing so, to provide tools to develop a system for managing trucks that maximizes efficiency for industry, while minimizing industry’s negative impacts on a region. For this purpose, the study selected the Port Freeport as a case study.

• Record URL:
  • https://doi.org/10.5281/zenodo.3165953
• Dataset URL:
  • https://doi.org/10.5281/zenodo.3216697
• Record URL:
  • https://rosap.ntl.bts.gov/view/dot/42378
• Supplemental Notes:
  • This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program. Supporting datasets available at: https://doi.org/10.5281/zenodo.3216697
• Corporate Authors:

  Texas A&M Transportation Institute

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

  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:
  • Monsreal, Mario
  • 0000-0001-9856-8259
  • Kruse, Jim
  • 0000-0002-7519-161X
  • Kang, Dong Hun (Don)
  • Park, Eun Sug
• Publication Date: 2019-4-8

Language

• English

Media Info

• Media Type: Digital/other
• Edition: Final Research Report
• Features: Appendices; Figures; Maps; Photos; References; Tables;
• Pagination: 65p

Subject/Index Terms

• TRT Terms: Case studies; Commodity flow; Distributions (Statistics); Freight traffic; Methodology; Seaports; Shipments; Statistical analysis; Traffic volume; Truck traffic; Water traffic
• Identifier Terms: Port Freeport
• Subject Areas: Freight Transportation; Marine Transportation; Motor Carriers; Planning and Forecasting; Terminals and Facilities;

Filing Info

• Accession Number: 01708048
• Record Type: Publication
• Contract Numbers: 69A3551747130
• Files: UTC, NTL, TRIS, ATRI, USDOT
• Created Date: Jun 19 2019 11:04AM