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.
Event-level prediction of urban crime reveals a signature of enforcement bias in us cities.Nature human behaviour, 6(8):1056–1068, 2022
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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.