Graph data modelling with a Safety II perspective: enhancing disaster response in Japan
Xiao‐Dong Feng, Kun Zhang, Atsufumi Yoshizawa, Koji Fukuda, Yoshiki Mikami · Journal of Risk Research · 2025
Disaster record reports serve as critical support for electricity company executives in formulating emergency countermeasures. Recognizing the urgency of accessing and managing disaster response information during crises, this study introduces a graph data modelling methodology to enhance the planning and training of response teams. The proposed method integrates an ontology framework with the functional resonance analysis method (FRAM) theory, offering a comprehensive description of response activities undertaken by managers in disaster scenarios. This ontology approach furnishes a systematically organized framework for managing disaster-related textual data. Utilizing FRAM enables the extraction of implicit expertise from the invaluable experiences of seasoned professionals. A graph database is implemented for storing, administering, and retrieving disaster data. The efficacy of this method is illustrated through the structuring of Tokyo Electric Power Company Holdings, Inc.’s (TEPCO) disaster response reports within a safety-II paradigm. This structuring significantly augments the efficiency of disaster information procurement and enhances response capabilities.