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Emergency dynamics modeling with an agent-based framework

Active shooter scenario case study

Bibliographic Data

ID22026447
AuthorsZicheng Han (0009-0002-1729-6234, University of Southern California), Burçin Becerik-Gerber (0000-0001-8648-0989, University of Southern California, corresponding author), Ruying Liu (0000-0001-5149-1960, University of Southern California), Gale Lucas (0000-0003-3089-9283, University of Southern California), Yogin Doolab (Arup Group (Canada)), Sara Zein (Arup Group (Canada)), Margo Atkins (Mission Bio (United States)), Deborah Blass (Mission Bio (United States)), Lachlan Miles (Arup Group (Canada))
Year2026
Volume142
Pages106226
Publication date2026-08-01
Open AccessYes
TypeARTICLE
VenueInternational Journal of Disaster Risk Reduction (JOURNAL)
Journal identifiersISSN: 2212-4209
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.ijdrr.2026.106226
OpenAlexW7162301901
LanguageEN
References cited77

Modeling human-induced emergencies requires a structured representation of interactions among occupants, hazards, and built environments. While existing simulation approaches provide important insights, behavioral processes, hazard progression, and architectural conditions are often examined separately. This study develops a parameterized agent-based modeling framework that integrates heterogeneous occupant behaviors, hazard dynamics, and environmental configurations within a commercially available crowd-simulation platform to extend its usability within the academic and professional communities. The framework comprises environmental modeling, agent definition, interaction logic, risk evaluation, and simulation execution, enabling systematic configuration of behavioral rules and scenario parameters through customized scripting. An Active Shooter Incident (ASI) in a school building is simulated as a demonstrative case study to illustrate the framework's capability to configure and test emergency scenarios under different behavioral, hazard and environmental assumptions. Using the framework, the study examines the effects of classroom occupancy, door width, and door-locking mechanisms on occupant safety, evaluated using a token-based high-risk metric and factorial statistical analysis. Results indicate that higher occupancy increases exposure risk, timely door locking substantially improves safety outcomes, and the influence of door width is context-dependent. The consistency of these patterns with prior research supports the behavioral plausibility of the modeling approach. Overall, the study contributes a practical and extensible framework for operationalizing human–hazard–environment interactions in similar agent-based simulations and for generating scenario-specific insights to support design and preparedness strategies in human-induced emergency contexts

Emergency procedure · Emergency response · Poison control · System dynamics · Evacuation and Crowd Dynamics · Modeling, Simulation, and Optimization · Multi-Agent Systems and Negotiation

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