Designing Decision Support Systems for Emergency Response: Challenges and Opportunities

TL;DR

This paper discusses the challenges and opportunities in designing decision support systems for emergency response, emphasizing the importance of incident detection, forecasting, and resource allocation to improve response efficiency.

Contribution

It provides an overview of the authors' approach to developing decision support tools for emergency management, highlighting key challenges and collaborative solutions.

Findings

Identification of critical challenges in ERM system design

Development of principled subsystems for incident detection and forecasting

Enhanced strategies for resource allocation and dispatch

Abstract

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.