Cross-border trade with Mexico forms the backbone of economic growth in the United States. The interdependence of U.S. national and global transportation supply chains means that any kind of disruption in one supply chain can have a significant impact on the chains it connects to. The specific objectives of this study were to: develop and calibrate a simulation-based dynamic traffic assignment (DTA) model for the binational region and to assess the effect of a critical infrastructure failure; determine the traffic impact on the border region after the transportation infrastructure closure, specifically, at POEs; and analyze the economic consequences of disruptions to the critical infrastructure using the DTA model developed. In addition to developing the model, TTI derived a method to link the DTA modeling method to a cargo diversion method for analyzing the economic costs of a critical transportation infrastructure failure. The research team developed an assessment of costs based on connections between origin-destination pairs for three major trip types: base case, short term, and long term. While both regions stand to lose economically, it is a given that these costs will ripple not only across the El Paso–Juarez bi-national region, but also to the main trading partner regions across the United States. However, the El Paso region has more to lose financially. To minimize these kinds of losses, effective mitigation planning that takes into account the traffic and business continuity effects of disasters is key. The DTA model route choice effects after a disruption in the network provided insight regarding how traffic can propagate across the entire network and over time. Behavioral effects and queuing effects are a significant component requiring follow-up investigation in the context of binational commodity flow. For more information contact Jeff Shelton at (915) 532-3759 or [email protected].