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AI (artificial intelligence)-assisted planning within emergency management operations.

James Adams1, Mahmud Hasan2, Jacob Thorp3

  • 1Sustainability Consultant, Computer Science and Engineering Technology Department, University of Houston-Downtown, Houston, Texas.

Journal of Emergency Management (Weston, Mass.)
|March 15, 2022
PubMed
Summary

Artificial intelligence (AI) can enhance emergency management by integrating with climate and traffic systems for disaster response. This technology offers efficient solutions to prepare for and manage catastrophes, saving lives.

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Area of Science:

  • Disaster Management
  • Artificial Intelligence Applications
  • Climate Science

Background:

  • Growing demand for advanced technologies in emergency operations.
  • Increasing population and anthropogenic emissions exacerbate disaster risks.
  • Limitations in predicting future natural disasters and catastrophes.

Purpose of the Study:

  • To explore the integration of Artificial Intelligence (AI) in emergency management.
  • To investigate AI's synergy with climate modeling and traffic management for disaster response.
  • To assess the feasibility of current AI technologies within existing emergency frameworks.

Main Methods:

  • Review of existing research and technological frameworks.
  • Analysis of AI capabilities in data processing and predictive modeling.
  • Examination of integration points between AI, climate models, and traffic systems.

Main Results:

  • AI offers significant potential to improve efficiency and effectiveness in disaster management.
  • Existing infrastructure can support the integration of AI and related technologies.
  • AI can assist in preparing for, designing, and executing disaster responses.

Conclusions:

  • AI is a crucial future technology for enhancing emergency management operations.
  • Integrating AI with climate and traffic systems provides a robust approach to natural disaster response.
  • AI adoption can mitigate challenges posed by increasing disaster frequency and unpredictability.