Analyzing airport security checkpoint performance using cognitive agent models |
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Institution: | 1. Faculty of Transport, Warsaw University of Technology, Koszykowa 75, 00-662 Warsaw, Poland;2. Upper Silesian Aviation Group, al. Korfantego 38, 40-161 Katowice, Poland;1. Department of Food and Beverage Management, Yuanpei University of Medical Technology, Taiwan;2. Department of International Logistics, Chung-Ang University, South Korea;1. Aviation Academy, Amsterdam University of Applied Sciences, The Netherlands;2. Amsterdam School of International Business, Amsterdam University of Applied Sciences, The Netherlands;3. Independent Researcher, Mexico City, Mexico;4. Department of Aeronautics, Faculty of Engineering, National University of La Plata, Argentina |
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Abstract: | Modern airports operate under high demands and pressures, and strive to satisfy many diverse, interrelated, sometimes conflicting performance goals. Airport performance areas, such as security, safety, and efficiency are usually studied separately from each other. However, operational decisions made by airport managers often impact several areas simultaneously. Current knowledge on how different performance areas are related to each other is limited. This paper contributes to filling this gap by identifying and quantifying relations and trade-offs between the detection performance of illegal items and the average queuing time at airport security checkpoints. These relations and trade-offs were analyzed by simulations with a cognitive agent model of airport security checkpoint operations. By simulation analysis a security checkpoint performance curve with three different regions was identified. Furthermore, the importance of focus on accuracy for a security operator is shown. The results of the simulation studies were related to empirical research at an existing regional airport. |
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Keywords: | Agent-based modelling and simulation Airport security operations Trade-off relations Sociotechnical system modelling Airport performance metrics |
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