United States Inland Waterways Infrastructure Assessment

Introduction and Background

Stakeholders

  • The Center for International Trade and Transportation is a research center that is a part of a larger research conglomerate.
  • Eno Center for Transportation.

Political Context

The United States Army Corps of Engineers (USACE)50% of funding is allocated through the U.S. General Fund and 50% is made through the Inland Waterways trust fund.

Build a Better Act of 2021

Provisions were made in March of 2022 to allocate 2.7 billion dollars from this legislation to modernize port and river infrastructure.

 

 

Our Project

Considering the modern political environment, we thought it would be useful to develop a basic means of analyzing the system to determine suitability for investment in locks, throughput of port infrastructure, measurement of potential blockages along the system of locks, and where major metropolitan regions along waterway corridors are.

Points of Interest

  • Ports
  • Locks
  • Cities

Methodology

How did we approach this problem?

The overview of our project follows a few main parts. The first thing that we did was generate some descriptive statistics about the infrastructure in question. That is the average size of lock infrastructure by USACE division, as well as port throughput. Then we attempted to model suitability for investment in lock infrastructure and attempted to model blockages along lock infrastructure.

Data

The data that was required was river location data, lock location, port data, and data relating to cities. The first dataset that we worked with was from the USACE navigation and civil works dataset (NDC dataset). This data set contained information pertaining to the infrastructure in the U.S. waterway system as well as waterway corridors. For the purposes of our project we collected data for locks ports and some waterway network locations. The rest of the waterways data which we required was taken from the National Oceanic and Atmostpheric Administration and Natural Earth. And finally the point location of cities was taken from Esri Maps and Data.

Modeling of Lock Infrastructure

To model locks for investment suitability, we used a Multicriterion Decision Analysis (MCDA) Approach. The particaular model that we developed was a weighted sum model. The parameters which we put into the model were unscheduled service hours at 15%, scheduled service hours at 15%, vessel traffic at 25%, age of lock 10%, length of lock 10%, and width of lock 20%.

To model blockages in the system, we used regression analysis. This allowed us to get an idea of the affects of the criterion which we fed into our weighted sum model. The dependent variable for the regression analysis we ran was vessel traffic, and the explanatory variables were lock age, scheduled and unscheduled service hours, length of the locks, and width of the locks.


Results

Results Intro

Our findings are split into 3 sections. First, we will go over the findings for riparian cities. Then we will go over the results from our lock analysis. And finally, we will finish by going over the findings for the inland and intercoastal ports.

 

 

 

Cities

We identified a total of 51 cities along the waterways which we analyzed. These cities were classified as cities with populations of 100,000 or greater withing 10 miles of a waterway. The ten biggest cities include Chicago, Houston, Nashville, Memphis, Portland, Sacramento, Kansas City, Omaha, Tulsa, and Minneapolis.

The average size of all these cities by population is 330,729. The smallest city is the City of Davenport, Iowa. And the total population of these major metropolitan regions is 16,867,185.

Locks Assessment Data

The first thing that we identified in our analysis were the gaps in lock data. The Army Corps of Engineers manages a total of 236 locks. Of those 236 locks, we started with 234 from the USACE dataset. After manually entering vessel traffic, scheduled and unscheduled service hours, we realized 184 out of the 234 locks in the dataset had enough data to model properly with our weighted sum model. Essentially, there were 50 locks that did not have enough data to be analyzed properly. The right side of this map's swipe with the black point feature visualizes the locks lacking data to properly model and vice versa.

Lock Assessment Investment Suitability

We developed a weighted sum model to attempt to model suitability for lock investment. The results from that model were rather interesting. The regions most densely populated with lock infrastructure are along the northern section of the Mississippi River; the Gulf Intercoastal Waterway; the Lower Mississippi and Red Rivers in the State of Louisiana; The Northern Mississippi; The Alabama and Tombigbee Rivers; the Arkansas River, Alleghany River, Ohio River, Kentucky Rivers, and the Fox River in Wisconsin.

Most of the systems are maintained pretty well. The locks most suitable for investment mostly occur along the Southern Mississippi and Red Rivers in Louisiana. Next would be the locks along the Alabama and Tombigbee rivers. Finally, according to our model, many of the locks along the Columbia and Snake Rivers in the Pacific Northwest appeared to be highly suitable for investment.

Lock Function

We attempted to measure the lock function using regression analysis. Interestingly, blockages did not seem to correlate with large population centers. Most of the potential blockages along the system seem to be along the Lower Mississippi River in the State of Louisiana as well as parts of the Snake River in the Pacific Northwest.

Inland Ports

Of the 150 largest ports by total tonnage in the United States, we identified 36 as being truly inland, with an additional 69 occurring along the coastal waterways and the Great Lakes regions. The total throughput of these ports is 1,882,741,345 tons. The average tonnage is 17,930,869.95 tons annually. The busiest ports, unsurprisingly, along the waterway systems occur along the gulfcoast.


Conclusion

In conclusion, we assessed lock and port infrastructure along inland and intercoastal waterways in the United States. Our framework identified major metro regions, port throughput, investment suitability in lock infrastructure, and potential for blockages along the system.

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