An LLM-driven agent-based model that integrates Routine Activity Theory and street-view safety perception outperforms baselines in simulating urban crime hotspots across four U.S. cities.
State of the art in agent-based modeling of urban crime: An overview.Journal of Quantitative Criminology, 35:155–193, 2019
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CrimeMind: Simulating Urban Crime with Multi-Modal LLM Agents
An LLM-driven agent-based model that integrates Routine Activity Theory and street-view safety perception outperforms baselines in simulating urban crime hotspots across four U.S. cities.