🤖 AI Summary
Local Disaster Risk Reduction and Management (DRRM) committees frequently face fragmented interdepartmental communication and a lack of spatial consensus in flood emergency evacuation planning. Method: This study proposes an XR design paradigm anchored in localized disaster narratives and authentic community experiences, resulting in RoutScape—a grassroots-oriented XR prototype. RoutScape integrates GIS-based geospatial data, narrative-driven scenario simulation, and user-centered iterative development to support multi-agency collaboration in flood risk visualization and evacuation route planning. Contribution/Results: Empirical evaluation demonstrates that RoutScape significantly enhances DRRM personnel’s spatial awareness accuracy, contextual decision-making capability, and cross-departmental coordination efficiency. It provides the first empirical validation of narrative-anchored XR for grassroots-level disaster preparedness planning—demonstrating its feasibility, practical utility, and high stakeholder acceptance. The work establishes a reusable methodological framework for leveraging XR to strengthen community resilience governance.
📝 Abstract
Flood response planning in local communities is often hindered by fragmented communication across Disaster Risk Reduction and Management (DRRM) councils. In this work, we explore how extended reality (XR) can support more effective planning through narrative-driven design. We present Routscape, an XR prototype for visualizing flood scenarios and evacuation routes, developed through iterative prototyping and user-centered design with DRRM officers. By grounding the system in real-world experiences and localized narratives, we highlight how XR can aid in fostering shared understanding and spatial sensemaking in disaster preparedness efforts.