Simulation Experiments to Assess the Effectiveness of Randomization in Security Screening at Sports and Entertainment Venues

Dennis Egan, Kevin Mc Inerney, Paul Kantor, Christie Nelson and Fred Roberts ()
Additional contact information
Dennis Egan: Rutgers University
Kevin Mc Inerney: Rutgers University
Paul Kantor: Rutgers University
Christie Nelson: Rutgers University
Fred Roberts: Rutgers University

A chapter in Theory, Algorithms, and Experiments in Applied Optimization, 2025, pp 61-80 from Springer

Abstract: Abstract Under rapidly shifting threat and security response environments, security directors at sports and entertainment venues could greatly benefit from methodologies and tools that can help them make informed decisions on the introduction of new or modified security screening protocols and processes during a planning stage that takes place long before event-day execution. Simulating security processes through simulation software is one such way to test security scenarios before deploying them, in order to gain an understanding of the possible benefits/effectiveness and costs such as patron dissatisfaction or extra manpower or introduction of security vulnerabilities. Randomization is one approach that makes it more difficult for terrorists or other bad actors to minimize the probability of detection. Because of the interest in potentially adding randomization to the patron screening process, simulation is one method that can be used to start to understand how possible randomization initiatives might work for individual venues. We describe three randomization schemes in security screening at sports and entertainment venues, describe the results of simulations testing them, and discuss how security personnel might utilize the results of such simulations.

Keywords: Security; Screening; Randomization; Simulation; Modeling; Optimization (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-3-031-91357-0_4

Ordering information: This item can be ordered from
http://www.springer.com/9783031913570

DOI: 10.1007/978-3-031-91357-0_4

Access Statistics for this chapter

More chapters in Springer Optimization and Its Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().