Modelling Human-Flood Interactions: A Coupled Flood-Agent-Institution Modelling Framework for Long-term Flood Risk Management

Y.A. Abebe

Research output: ThesisDissertation (TU Delft, preparation external)

6 Downloads (Pure)

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.
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • Delft University of Technology
  • IHE Delft Institute for Water Education
Supervisors/Advisors
  • Brdanovic, D., Supervisor
  • Vojinovic, Zoran, Advisor, External person
Award date3 Dec 2020
Place of PublicationLeiden, the Netherlands
Publisher
Print ISBNs978-0-367-74886-9
Publication statusPublished - 2020

Keywords

  • flood risk management
  • socio-hydrology
  • agent-based modelling
  • policy analysis
  • institutional analysis

Fingerprint Dive into the research topics of 'Modelling Human-Flood Interactions: A Coupled Flood-Agent-Institution Modelling Framework for Long-term Flood Risk Management'. Together they form a unique fingerprint.

Cite this