Poster #154 - Modeling Illicit Drug Flow and Optimizing Interstate Enforcement Using Spatial Interaction Models

• In Event: ASC Poster Session I

Abstract

Illicit drug trafficking in the United States continues to challenge public safety and policy development. This study models the movement of illicit drugs along the Interstate Highway System using spatial interaction models, specifically gravity models, to estimate flows between entry points and urban demand centers. Drawing from historical data provided by the National Drug Intelligence Center and updated location information, the research visualizes likely trafficking corridors and identifies interstate routes with the highest estimated volumes. Building on these flow estimates, a maximal coverage optimization model is introduced to enhance interdiction strategies. Using the gravity model outputs as inputs, the optimization identifies the most effective interdiction points under varying resource constraints, offering a strategic framework for law enforcement and policy planning. Together, the models provide a comprehensive view of drug flow dynamics and practical tools for disrupting trafficking networks. Findings highlight major corridors and optimal enforcement locations, supporting data-driven decisions for resource allocation and interdiction efforts. This dual approach advances geographic crime analysis by integrating flow modeling with applied optimization, bridging the gap between spatial theory and actionable intelligence.

Authors

• Hailey Nicole Richardson, University of Alabama, Laboratory for Location Science

• Kevin M. Curtin, University of Alabama, Laboratory for Location Science