Climate change combined with the rapid and often unplanned urbanisation trends is associated with a rising trend in the frequency and severity of disasters triggered by natural hazards. In order to face the impacts of such threats it is necessary to have an appropriate Disaster Risk Assessment (DRA). Traditional DRA approaches for disaster risk reduction (DRR) have focused mainly on the hazard component of risk with little attention to the vulnerability and the exposure components. To address this issue this dissertation’s main objective is to develop and test a disaster risk modelling framework that incorporates socioeconomic vulnerability and the adaptive nature of exposure associated with human behaviour in extreme hydro-meteorological events in the context of SIDS. To achieve the objective an Adaptive Disaster Risk Assessment (ADRA) framework is proposed. ADRA uses an index-based approach (PeVI) to assess the socioeconomic vulnerability using three components: susceptibility lack of coping capacities and lack of adaptation. Furthermore ADRA explicitly incorporates the exposure component using two approaches; first a logistic regression model was built using the actual evacuation rates observed during Hurricane Irma and second an Agent-based model is used to simulate how households change their exposure levels in relation to different sources of information | Adaptive Disaster Risk Assessment Combining Multi-Hazards with Socioeconomic Vulnerability and Dynamic Exposure