Scientific Development Research

The rapid development of big data technology has provided new decision-support tools for urban emergency management. In urban emergency management, the timeliness and scientificity of decision-making are crucial when responding to sudden incidents. However, traditional decision-making models often suffer from problems such as information asymmetry and low efficiency in data processing. This study explores how big data can optimize urban emergency management decision-making, proposing the use of big data technology to conduct real-time collection, analysis, and processing of various types of information in urban emergency management, thereby improving the accuracy and response speed of decisions. Through the diversified integration of data sources and the construction of analytical models, it is possible to more comprehensively evaluate and predict the impact of sudden incidents, thus providing more valuable reference basis for emergency decision-making. This study further discusses the specific applications of big data technology in emergency management, the challenges faced, and puts forward relevant optimization solutions to promote the intelligence and efficiency of urban emergency management decision-making.

Big data; Urban emergency management; Decision optimization; Real-time analysis; Intelligence