Development of a 3D Disaster Information Sharing Platform— Toward Decision-Making Support in the Initial Disaster Response Phase —

Abstract

In recent years, the increasing frequency and severity of large-scale natural disasters have highlighted the importance of information platforms that support rapid situational awareness and decision-making during the initial response phase immediately after an event. Although diverse disaster-related data can now be acquired using UAVs, IoT sensors, and AI-based analysis, a framework for the integrated management and sharing of heterogeneous data has not yet been sufficiently established. In this study, as part of the Cabinet Office Moonshot Research and Development Program, we designed and developed a three-dimensional disaster information sharing platform, CAFE-3D, to support information sharing and decision-making. CAFE-3D integrates and visualizes diverse data obtained through remote sensing technologies within a 3D spatial environment, thereby facilitating a shared operational picture among stakeholders. This paper reports a field demonstration using a river channel blockage disaster as a case study and presents evaluation results on operational feasibility and usability, together with practical guidance for effective utilization.