Modelling bottom-up behavioral dynamics for community-based adaptive flood risk management

Finally, a hybrid method of agent-based modelling and system dynamics is used to construct a multi-participant AFRM system and present the behavioural dynamics. This study makes contributions to knowledge with: First, a structured view of the public’s role in AFRM in a three-level framework. Second, a research map that shows the driving factors of each level of adaptation behaviours.

Finally, a decision support tool that presents rich scenarios for decision-makers to explore behavioural dynamics and solutions. However, this study has shortcomings in terms of the lack of verification and localization of the model, lack of internal correlations of mechanisms, and limited scale of the exploration. This study hopes to improve the model in the future, expand it to larger-scale issues with the community-based model as a packable unit, and apply the ideas and routines in this thesis to broader issues.<br><br><i>Thesis is embargoed until 31 July 2028.</i>