An Empirical Study of Stream-Based Emergency Response Coordination

Abstract

Emergency response platforms aggregate information from sensors, dispatch centers, and public reporting channels to support time-critical decision making. Data incompleteness and synchronization delays complicate operational coordination. This study describes the development of a stream integration framework that aligns heterogeneous event sources through timestamp normalization and probabilistic conflict resolution. Field trials conducted during large-scale public safety exercises demonstrate improved situational awareness and reduced dispatch latency. However, communication outages and inconsistent reporting formats remain persistent obstacles. Effective response systems depend on both technical integration and organizational alignment.