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Decision support system for resource allocation in disaster management.
1University of Massachusetts, Amherst, USA.
Summary
This study presents a decision support framework for optimizing emergency response during disasters. It uses rapid information collection and operations research to improve resource deployment and victim assistance.
Area of Science:
- Disaster Management
- Operations Research
- Public Emergency Services
Background:
- Disasters necessitate large-scale emergency responses.
- Coordinating numerous responders and resources is a significant challenge.
Purpose of the Study:
- To introduce a decision support framework for disaster response.
- To enhance rapid information collection and resource tracking.
Main Methods:
- Developing a framework for rapid information collection.
- Implementing resource tracking functionalities.
- Applying operations research techniques for optimal resource deployment.
Main Results:
- The framework facilitates efficient information gathering.
- Resource tracking improves situational awareness.
- Operations research provides optimal dispatching solutions.
Conclusions:
- The proposed framework enhances emergency response coordination.
- Optimized resource deployment improves victim assistance during disasters.
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