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U.S. import/export container flow modeling and disruption analysis
Authors:Dean A JonesJulie L Farkas  Orr BernsteinChad E Davis  Adam TurkMark A Turnquist  Linda K NozickBrian Levine  Carmen G RawlsScott D Ostrowski  William Sawaya
Institution:a Sandia National Laboratories, Albuquerque, NM, USA1
b Cornell University, Ithaca, NY, USA
c U.S. Coast Guard Reserve, Portsmouth, VA, USA2
d Texas A&M University, College Station, TX, USA
Abstract:International containerized freight movement is a vital part of the supply chain for many companies, and a critical element of moving consumer goods to points of retail sale within the U.S. Containerized imports also present a clear security concern (e.g., terrorists attempting to ship “dirty bombs,” chemical, biological or even nuclear weapons, into the U.S. in a shipping container). The goal of the research presented here is to create a modeling tool for analyzing flows of U.S. imports and exports of containerized freight, and the potential changes in those flows under a variety of conditions (e.g., port disruptions, extensive security-related delays, etc.). Our focus is on movements through maritime container ports, and not overland movements between the U.S. and Canada or Mexico.The network model, referred to as the System for Import/Export Routing and Recovery Analysis (SIERRA), represents container movements between the U.S. and 46 other countries that account for the vast majority of U.S. imports and exports. The SIERRA model is a network equilibrium model that predicts flows between foreign countries and North American ports, the total volumes handled (import and export) by each port, the modal volumes (truck and rail) moving domestically into and out of each port, and volumes between each port and a set of transportation analysis zones within the U.S.
Keywords:Container flows  Disruption analysis  Freight network modeling  Homeland security analysis  Port capacity
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