Designing Decision Support Systems for Emergency Response: Challenges and Opportunities
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Abstract (arXiv)
Designing effective emergency response management (ERM) systems to respond to incidents such as road accidents is a major problem faced by communities. In addition to responding to frequent incidents each day (about 240 million emergency medical services calls and over 5 million road accidents in the US each year), these systems also support response during natural hazards. Recently, there has been a consistent interest in building decision support and optimization tools that can help emergency responders provide more efficient and effective response. This includes a number of principled subsystems that implement early incident detection, incident likelihood forecasting and strategic resource allocation and dispatch policies. In this paper, we highlight the key challenges and provide an overview of the approach developed by our team in collaboration with our community partners.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 13 of its 43 references that are in the map. First posted on arXiv 23 Feb 2022.
Builds on
13 of 43 references.
References · 13
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- 2021Practitioner-Centric Approach for Early Incident Detection Using Crowdsourced Data for Emergency Servicescited by 3
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Citing papers per year: 2022: 1.
1 paper.
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