Evaluation of the effectiveness of an airport passenger and baggage security screening system

Jacek Skorupski , Piotr Uchroński

Abstract

Airport security managers need methods to quantify changes in security level to prevent terrorist attacks. This study presents a method using a fuzzy inference system to assess the overall effectiveness of prohibited items detection during passenger and baggage security screening. The results show that the screening system performance can be improved from medium to high by upgrading screening devices at hold baggage checkpoints and by increasing the frequency of training sessions. In the case of increased risk of terrorist attacks an obligation to control 20 per cent of passengers manually complemented by a 30 per cent increase in the sensitivity of metal detectors increases system performance to very high detection level. On the positive side our results show that these results can be achieved with minimum financial outlays, while on the negative sides system throughput is somewhat reduced. Overall our results show that screening performance can be improved substantially, but as the required performance level rises there is a trade-off with system throughput and personnel training costs.
Author Jacek Skorupski ZITL
Jacek Skorupski,,
- Department of Air Transport Engineering
, Piotr Uchroński ZITL
Piotr Uchroński,,
- Department of Air Transport Engineering
Journal seriesJournal of Air Transport Management, ISSN 0969-6997
Issue year2018
Vol66
Pages53-64
Publication size in sheets0.6
Keywords in Englishsecurity management, air transport, fuzzy inference, passenger and baggage screening, human factor
DOIDOI:10.1016/j.jairtraman.2017.10.006
URL https://doi.org/10.1016/j.jairtraman.2017.10.006
Languageen angielski
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Evaluation of the effectiveness of an airport passenger and baggage security screening system_1.pdf / 1.28 MB / Evaluation of the effectiveness of an airport passenger and baggage security screening system_1.pdf 1.28 MB
Score (nominal)20
ScoreMinisterial score = 20.0, 16-10-2017, ArticleFromJournal
Ministerial score (2013-2016) = 20.0, 16-10-2017, ArticleFromJournal
Publication indicators WoS Impact Factor: 2016 = 2.357 (2) - 2016=2.246 (5)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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