TOWARDS A DIGITAL TWIN FOR EMERGENCY RESPONSE: A HYBRID SIMULATION FOR MULTI-SECTORAL RESOURCE ALLOCATION

Planning for Emergency Response is crucial to a region’s preparedness for climate resilience. It involves multiple government sectors and necessitates effective cooperation between them. Collective management of emergency response resources can improve resource allocation at a regional scale and overcome local constraints. However, prioritising resources is challenging when a collective sharing strategy is applied. When emergency events are still evolving, another challenge is the estimation of future demands and resource shortages, which trigger further requests for external support. In modelling resource flow dynamics, we are implementing an emergency response Digital Twin that combines a Resource Allocation Model with short-term predictions concerning weather-related emergency events and real-time updates. This paper focuses on the resource allocation model for hybrid simulation. It is applied to a flooding case study from the city of Torbay (UK). It enables a holistic assessment of emergency response, considering the cascading effects of the failure of critical infrastructures for better addressing regional resilience.