Agent-Based Simulation of Mass Shootings: Determining How to Limit the Scale of a Tragedy
Roy Hayes () and
Reginald Hayes ()
Journal of Artificial Societies and Social Simulation, 2014, vol. 17, issue 2, 5
Abstract:
An agent-based simulation was created to examine key parameters in mass shootings. The goal of the simulation was to examine the potential effectiveness of Senator Dianne Feinstein’s (D-Calif.) assault weapons and high-capacity magazines bill. Based on the analysis, the proposed law would have a negligible effect on the number of people shot during mass shootings. The assault weapons portion of the proposed bill will have no effect on the number of people killed or wounded in a mass shooting. The assault weapons ban does not seek to decrease the rate of fire of any firearm. Of the parameters tested a weapon’s rate of fire has the greatest effect on the number of people wounded or killed by that weapon. However, a ban on high-capacity magazines will result in a small number of lives saved during a mass shooting. This paper demonstrates simulation’s ability to examine proposed policies and provide a framework for more meaningful discussions.
Keywords: Mass Shootings; Public Policy; Criminology (search for similar items in EconPapers)
Date: 2014-03-31
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.jasss.org/17/2/5/5.pdf (application/pdf)
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:jas:jasssj:2013-111-2
Access Statistics for this article
More articles in Journal of Artificial Societies and Social Simulation from Journal of Artificial Societies and Social Simulation
Bibliographic data for series maintained by Francesco Renzini ().