Agent-based vulnerability assessment at airport security checkpoints: A case study on security operator behavior. (May 2020)
- Record Type:
- Journal Article
- Title:
- Agent-based vulnerability assessment at airport security checkpoints: A case study on security operator behavior. (May 2020)
- Main Title:
- Agent-based vulnerability assessment at airport security checkpoints: A case study on security operator behavior
- Authors:
- Janssen, Stef
van den Berg, Arjan
Sharpanskykh, Alexei - Abstract:
- Abstract: Despite enormous investments in airport security, terrorists have been able to find and exploit vulnerabilities at security checkpoints. Existing vulnerability assessment methodologies struggle with accounting for human behavior, and agent-based modelling forms a promising technique to overcome this limitation. This paper investigated how the decision-making and performance of human operators can be taken into account while assessing vulnerability at an airport security checkpoint. To this end, an agent-based model was designed, in which the performance of security operators was modelled using a functional state model, while decision making was modelled using decision field theory. Passengers and an attacker that brings a weapon to the security checkpoint were also explicitly modelled as agents. Simulation results indicate that the highest skilled operators outperformed their lowest skilled counterparts on analyzing X-ray images, but performed worse on both searching luggage and performing patdowns. Furthermore, results showed that a high focus on speed of security operators leads to a decrease in luggage searches and therefore increased vulnerability. More work is needed to calibrate and validate the simulation results, but initial results are promising. The agent-based model can be used by airport regulators and managers to understand the workings of their security checkpoint better and ultimately to reduce vulnerabilities. Highlights: Agent-based model forAbstract: Despite enormous investments in airport security, terrorists have been able to find and exploit vulnerabilities at security checkpoints. Existing vulnerability assessment methodologies struggle with accounting for human behavior, and agent-based modelling forms a promising technique to overcome this limitation. This paper investigated how the decision-making and performance of human operators can be taken into account while assessing vulnerability at an airport security checkpoint. To this end, an agent-based model was designed, in which the performance of security operators was modelled using a functional state model, while decision making was modelled using decision field theory. Passengers and an attacker that brings a weapon to the security checkpoint were also explicitly modelled as agents. Simulation results indicate that the highest skilled operators outperformed their lowest skilled counterparts on analyzing X-ray images, but performed worse on both searching luggage and performing patdowns. Furthermore, results showed that a high focus on speed of security operators leads to a decrease in luggage searches and therefore increased vulnerability. More work is needed to calibrate and validate the simulation results, but initial results are promising. The agent-based model can be used by airport regulators and managers to understand the workings of their security checkpoint better and ultimately to reduce vulnerabilities. Highlights: Agent-based model for performance and decision-making of security operators defined Vulnerability of airport security checkpoint greatly influenced by security operators Highest skilled operators performed worse on both searching luggage and performing pat downs … (more)
- Is Part Of:
- Transportation research interdisciplinary perspectives. Volume 5(2020)
- Journal:
- Transportation research interdisciplinary perspectives
- Issue:
- Volume 5(2020)
- Issue Display:
- Volume 5, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 5
- Issue:
- 2020
- Issue Sort Value:
- 2020-0005-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-05
- Subjects:
- Agent-based modelling -- Security -- Vulnerability -- Human decision making -- Human performance
Transportation -- Periodicals
388.05 - Journal URLs:
- https://www.sciencedirect.com/journal/transportation-research-interdisciplinary-perspectives/issues ↗
http://www.sciencedirect.com/ ↗ - DOI:
- 10.1016/j.trip.2020.100139 ↗
- Languages:
- English
- ISSNs:
- 2590-1982
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 13376.xml