Modeling the Impact of Patron Screening at an NFL Stadium

The Department of Homeland Security identifies stadium safety as a crucial component of risk mitigation in the US. Patron screening poses difficult trade-offs for security officials: rigorous screening prevents weapons from entering the structure, but it also creates lines that become security hazards and may be infeasible if patrons are to get into the stadium within a few minutes of the beginning of the game. In order to quantitatively inform venues about how different screening procedures will affect their venue, we developed a patron screening model together with security personnel at a National Football League (NFL) stadium. Our model specifically addresses the speed of screening using different procedures: walk-through magnetometers, wandings, and patdowns. We then created a real-time simulation of queue formation using the physical arrangement of gates at the stadium. This allowed for analysis based on different patron screening procedures and configurations. We validated our model and simulation using ticket scan data and security director experience. Our approach is generic enough for any stadium and has been used to explore inspection protocols at multiple venues including an NBA arena. We also successfully demonstrated our work to NFL Security.

[1]  Hubert Klüpfel,et al.  Simulation of the Evacuation of a Football Stadium Using the CA Model PedGo , 2005 .

[2]  Kincho H. Law,et al.  A multi-agent based framework for the simulation of human and social behaviors during emergency evacuations , 2007, AI & SOCIETY.

[3]  Michael Schreckenberg,et al.  Simulation of competitive egress behavior: comparison with aircraft evacuation data , 2003 .

[4]  Bandana Kar,et al.  A GIS-Based Football Stadium Evacuation Model , 2012 .

[5]  Chandra R. Bhat,et al.  An assessment of the impacts of inspection times on the airline industry's market share after September 11th , 2012 .

[6]  Jong-Chae Kim,et al.  Security management for sports and special events: an interagency approach to creating safe facilities , 2014 .

[7]  Parris K. Egbert,et al.  More realistic, flexible, and expressive social crowds using transactional analysis , 2012, The Visual Computer.

[8]  Randall P. Sadowski,et al.  Simulation with Arena , 1998 .

[9]  T Edmunds,et al.  Simulation Analysis of Inspections of International Travelers at Los Angeles International Airport for US-VISIT , 2004 .

[10]  David R. Pendergraft,et al.  Simulation of an airport passenger security system , 2004, Proceedings of the 2004 Winter Simulation Conference, 2004..

[11]  Kenneth G. Crowther,et al.  Risk-informed assessment of Scott Stadium evacuation through agent-based simulation , 2010, 2010 IEEE Systems and Information Engineering Design Symposium.

[12]  Nancy M. Amato,et al.  Environmental Effect on Egress Simulation , 2012, MIG.

[13]  Tayfur Altiok,et al.  Simulation Modeling and Analysis with ARENA , 2007 .