Enhancing aviation security through the use of signal detection theory

Enhancing aviation security through the use of signal detection theory
Economic Analysis

Overview

Enhancing aviation security through the use of signal detection theory

TSA evaluates approximately 2.2 million passengers daily through the TSA Secure Flightâ„¢ Program. Secure Flight assess the risk of aviation passengers and classify each passenger into one of three risk groups: high risk, low risk and unknown risk.

This project will systematically investigate the decision-making process, integrate the value tradeoffs of different stakeholder groups and ultimately create a software tool that can be used to establish new cut-points that are appropriate, systematic and acceptable across stakeholder groups.

The results of the research could be used by TSA decision makers to set different cut points and expand the number of individuals in the low-risk group. This would increase the efficiency of security screening at airports and could expand the TSA precheck program.

Research Leadership Team

Principal Investigator: Nicholas Scurich, University of California, Irvine