13 Jan 2026

Major Freight Corridors in the US: Mapping of Commodity Flows on Waterborne, Rail, and Truck Networks

Abstract: Within the context of complex, interconnected, multimodal transportation, the US Army Corps of Engineers (USACE) provides safe, reliable, efficient, effective, and environmentally sustainable waterborne transportation systems for the movement of commerce, national security needs, and recreation. Understanding the role of waterways within the multimodal transportation system would allow for comprehensive resource allocation, including dredging prioritization. In 2022, approximately 19,810 million tons of goods were transported within, to, and from the US, with truck being the dominant mode for the domestic portion of the trip (64 percent). Relatively recent legislation calls for a multimodal representation of freight, one that facilitates transportation planning and asset management. However, traditional data collection and analysis has focused on single modes, preventing nationwide, multimodal representations of commodity flows. This report presents major commodity corridors within, to, and from the US by combining diverse sources and homogenizing data dimensions. The resulting information and commodity-specific maps help to contextualize waterborne navigation’s role within the broader multimodal transportation system. A key finding from the study indicates that the mouth of the Mississippi River in Louisiana carried in 2019 more volume of freight annually than any other waterway, railroad, or highway segment in the US.

20 Aug 2025

Parameterized Statistical Distributions of Unique Origin-Destination Pairs for Major Waterborne Commodity Groups

Abstract: Modeling the spatiotemporal aspects of freight movements within a distributed network is crucial to forecasting transportation infrastructure needs, prioritizing investments, and estimating emissions. Commodity flow patterns and trends along the inland waterway transportation system are significant because of their importance for the economy, in line with priorities of the US Committee on the Marine Transportation System. Analyzing these inland waterway flows better informs multimodal freight transportation modeling. This exploratory research uncovers, describes, and summarizes patterns and trends of the US waterway transportation system by mining waterborne freight data. The purpose of this work is to identify parameterized statistical distributions that describe the relative dispersion of unique waterborne Origin-Destination (OD) pairs when sorted high to low by annual freight tonnage. Best-fit statistical distributions and associated parameters are identified for the leading commodities transported on waterways, and an 11-year time-series analysis of commodity-specific distribution parameters provide their evolution across time. Results show that the power law best explains the distribution of ranked ODs by tonnage for seven of the twelve commodities analyzed. The root-mean-square error (RMSE) of any given commodity modeled is less than 1%. These results provide insights into the underlying behavior of inland waterway freight transportation.