Recovery planning for resilience in integrated disaster risk management

Minimizing recovery times after disasters that impact complex systems of multiple infrastructures, especially in urban settings, is a challenging problem. A major difficulty is untangling the web of interdependencies that intertwine infrastructure and the objectives and preferences of the various owners and operators involved. In this paper, the integration of a game-theoretic conflict resolution technique, the Graph Model for Conflict Resolution, with a probabilistic resilience and recovery planning method, the Graph Model for Operational Resilience, is proposed to achieve a novel negotiated coordination scheme. A case study demonstration is provided for a simulated multi-infrastructure disaster scenario. The results show a median recovery time decrease of 14% to 20% for population needs reliant on multiple types of infrastructure. The findings suggest promising utility of the approach to quicken recovery and may also be useful for encouraging information sharing among stakeholders interested in achieving such a goal.