Analytic Models for Active Shooter Incidents
Abstract
Active shooter incidents in the United States are growing in frequency and scale. This increase has gained widespread attention, with mounting calls to authorities and policymakers to reduce the number and impact of such events. Unfortunately, studying active shooter incidents is particularly difficult. Unlike other social phenomena, the window for observation is brief, and realistic human experiments are practically unobtainable. The last decade has seen a flurry of computer simulation models attempt to fill this gap; however, without an abundance of data or corresponding analytic models for verification, their results are precarious. This thesis presents a series of analytic models that capture the central dynamics of active shooter incidents, allowing researchers to gain insight on which factors most affect the outcomes of these events. The models have potential to inform policy, enable analysis for decision-makers, and influence emergency response plans in order to ultimately save lives.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 01, 2020
- Accession Number
- AD1114719
Entities
People
- Aaron Sporrer
Organizations
- Naval Postgraduate School