Developing post-disaster resilience decision support system user interface for enhancing post-disaster response

Abstract

Effective resource allocation for resilience after a disaster is hindered by delayed assessments and outdated situational data. This research demonstrates how a mobile, location-based user interface (UI) for a Post-Disaster Resilience Decision Support System (PDRDSS) enhances real-time situational awareness and enables efficient decision-making. The key features of UI include user-centered design built with Expo for React Native, geospatial visualization for dynamic mapping of disaster affected areas with GPS-based location, and structured reporting allowing responders to submit impact reports and receive actionable recommendations via an intuitive dashboard. The backend infrastructure uses a scalable, serverless architecture to ensure reliability during critical operations. By integrating live reporting, real-time risk assessments, and automated coordination tools, the PDRDSS reduces emergency response times, improves equitable resource distribution through data-driven insights, and enhances cross-agency collaboration with centralized communication channels. Future work will focus on completing the full implementation of the backend infrastructure as well as usability testing and integrating AI to refine predictive risk assessments for the areas affected by disasters.