With the rapid development of science and technology, artificial intelligence plays a significant role across various domains. In recent years, frequent occurrences of natural disasters and human-made accidents have brought increasing attention to emergency management, which constitutes an integral part of China’s governance system. As a crucial tool for data analysis and prediction, machine learning has been extensively applied in emergency management. Through bibliometric analysis using CiteSpace software—examining annual publication volumes, authors, and keywords in literature related to machine learning applications in emergency contexts—it is evident that machine learning, as a core AI technology, has been widely utilized in areas such as data analysis, predictive modeling, and decision-making assistance. The integration of machine learning with emergency management can substantially enhance operational efficiency. This paper explores the application research of machine learning in emergency management and investigates its potential to improve emergency response effectiveness while mitigating disaster-related losses.
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