August 1, 2017.
What if airport security teams across the world could quantify and then minimize the amount of risk throughout areas of an airport? The Operations Research Team at the Pacific Northwest National Laboratory is developing and implementing an optimization model called ARAM (Airport Risk Analysis Model) for the Seattle-Tacoma International Airport. ARAM will provide a recommended optimal deployment of security assets to reduce risk in areas of an airport. The model is based on a risk equation that considers consequences, vulnerabilities, and threat magnitudes at airports. ARAM will also provide the estimated risk buy down percentage, which is how much risk can be reduced from the baseline based on how many security teams are available when optimally deployed. Currently, there are six different asset types that were used in this model: TSA (Transportation Security Administration) Playbook Team, TSA Canine Team, TSA VIPR (Visible Intermodal Protection and Response) Team, POS (Port of Seattle) PD (Police Department) Canine Team, POS PD Patrol Team, and POS Security Team. Based on initial analysis, the asset team that had the greatest risk buy down was the POS PD Canine Team with a 5.1% risk reduction during the shifts of 0300-1000 hours and 0400-1100 hours. The next steps for the ARAM model will be to translate the Microsoft Excel program into a web accessible software platform that runs the calculations in a timely manner for airport security teams to implement on a daily basis.
Angela Waterworth and Dr. Robert Brigantic
Pacific Northwest National Laboratory (PNNL)
This material is based upon work supported by the National Science Foundation through the Robert Noyce Teacher Scholarship Program under Grant #1418852. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. The research was also made possible by the California State University STEM Teacher and Researcher Program, in partnership with Chevron (www.chevron.com), the National Marine Sanctuary Foundation (www.marinesanctuary.org), and Pacific Northwest National Laboratory.