Print Email Facebook Twitter Modelling Human-Flood Interactions Title Modelling Human-Flood Interactions: A Coupled Flood-Agent-Institution Modelling Framework for Long-term Flood Risk Management Author Abebe, Y.A. (TU Delft BT/Environmental Biotechnology; IHE Delft Institute for Water Education) Contributor Brdjanovic, Damir (promotor) Vojinovic, Zoran (copromotor) Degree granting institution Delft University of TechnologyIHE Delft Institute for Water Education Date 2020-12-03 Abstract The negative impacts of floods are attributed to the extent and magnitude of a flood hazard, and the vulnerability and exposure of natural and human elements. In flood risk management (FRM) studies, it is crucial to model the interaction between human and flood subsystems across multiple spatial, temporal and organizational scales. Models should address the heterogeneity that exists within the human subsystem, and incorporate institutions that shape the behaviour of individuals. Hence, the main objectives of the dissertation are to develop a modelling framework and a methodology to build holistic models for FRM, and to assess how coupled human-flood interaction models support FRM policy analysis and decision-making. To achieve the objectives, the study introduces the Coupled fLood-Agent-Institution Modelling framework (CLAIM). CLAIM integrates actors, institutions, the urban environment, hydrologic and hydrodynamic processes and external factors, which affect FRM activities. The framework draws on the complex system perspective and conceptualizes the interaction of floods, humans and their environment as drivers of flood hazard, vulnerability and exposure. The human and flood subsystems are modelled using agent-based models and hydrodynamic models, respectively. The two models are dynamically coupled to understand human-flood interactions and to investigate the effect of institutions on FRM policy analysis. Subject flood risk managementsocio-hydrologyagent-based modellingpolicy analysisinstitutional analysis To reference this document use: http://resolver.tudelft.nl/uuid:9e4278f7-6b3b-406c-a6ac-9e1f8d9df0c7 Publisher CRC Press / Balkema - Taylor & Francis Group, Leiden, the Netherlands ISBN 978-0-367-74886-9 Part of collection Institutional Repository Document type doctoral thesis Rights © 2020 Y.A. Abebe Files PDF 2020_IHE_PHD_THESIS_ABEBE_i.pdf 7.51 MB Close viewer /islandora/object/uuid:9e4278f7-6b3b-406c-a6ac-9e1f8d9df0c7/datastream/OBJ/view