Concept of Multi-criteria Evaluation of the Airport Security Control Process

Kierzkowski, Artur; Kisiel, Tomasz

doi:10.1007/978-3-319-59415-6_19

Cited by 1 publication

(1 citation statement)

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“…Models for evaluation of the performance of the airport security checkpoint based on fuzzy inference were proposed in (Skorupski & Uchroński, 2015, 2017. Some of this work also aimed at system-wide, multi-criteria evaluation of airport security processes (Kierzkowski & Kisiel, 2017), taking into account indicators such as efficiency of prohibited items detection, capacity of security control, and the level of service. Similarly to our work, this research attempted to model human factors and their effects on the security system performance.…”

Section: Measuring Airport Security Checkpoint Performancementioning

confidence: 99%

Analyzing airport security checkpoint performance using cognitive agent models

Knol

Sharpanskykh

Janssen

2019

Journal of Air Transport Management

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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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Section: Measuring Airport Security Checkpoint Performancementioning

confidence: 99%