Research on optimization of urban emergency management decision-making supported by big data
大数据支持下的城市应急管理决策优化研究

摘要

大数据技术的快速发展为城市应急管理提供了新的决策支持手段。城市应急管理在面对突发事件时，决策的及时性和科学性至关重要，然而传统的决策模式往往存在信息不对称、数据处理效率低等问题。本研究探讨了大数据如何优化城市应急管理决策，提出利用大数据技术对城市应急管理中的各类信息进行实时采集、分析和处理，提升决策的准确性和响应速度。通过对数据源的多元化整合与分析模型的构建，能够更加全面地评估和预测突发事件的影响，从而为应急决策提供更具参考价值的依据。本研究进一步讨论了大数据技术在应急管理中的具体应用及面临的挑战，并提出相关的优化方案，以推动城市应急管理决策的智能化与高效化。

Abstract

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.