This analysis demonstrates the applicability of an AI framework to enhance decision-making in emergency operations, suggesting improved situational awareness.
This study proposes a conceptual framework for an AI -based integrated control system designed to support decision-making in 119 emergency operations centers. The proposed platform links internal operational data with external public APIs (weather, traffic, and underground infrastructure) and organizes modular functions for call intake, dispatch routing, and field response coordination. Scenario-based analysis indicates that integrated visualization and constraint-aware routing can support situational awareness, dispatch decisions, and on-site safety information. This work demonstrates the theoretical viability of the concept rather than providing quantitative validation, and serves as a basis for future simulations and field evaluations.
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Jung et al. (2026) studied this question.
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