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A Survey of Large Language Models in Urban Natural Disaster Emergency Management: Progress, Application, and Challenges

Lookup NU author(s): Professor Raj Ranjan

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Abstract

© 1997-2012 IEEE.The continuous impact of global climate change and human activities on the natural environment has significantly increased the frequency and complexity of emergencies and natural disasters in urban areas, posing higher requirements for the existing emergency management system. The rise of large language models (LLMs) provides a novel solution for emergency management to become intelligent. This article systematically analyzes the latest application progress of LLMs in disaster emergency management and discusses in detail the key role of LLMs in various stages before, during, and after disasters. In addition, this article puts forward the possible application framework and technical route of LLMs in emergency management in the future. Finally, this article summarizes the current challenges of applying LLMs to intelligent emergency management and outlines valuable research directions for the future.

Publication metadata

Author(s): Zhu G, Zhang F, Ranjan R, Dustdar S, Li J, Wang Y, Wang Y, Huang X, Chen Y, Wang L

Publication type: Article

Publication status: Published

Journal: IEEE Internet Computing

Year: 2025

Volume: 29

Issue: 4

Pages: 66-76

Print publication date: 01/07/2025

Online publication date: 05/01/2026

Acceptance date: 02/04/2025

ISSN (print): 1089-7801

ISSN (electronic): 1941-0131

Publisher: Institute of Electrical and Electronics Engineers Inc.

URL: https://doi.org/10.1109/MIC.2025.3566787

DOI: 10.1109/MIC.2025.3566787

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