Mathematical and computational models are being increasingly used to help decision makers effectively plan and respond to emergency situations. For example, decision support systems are being developed to help manage the large-scale evacuation of populations threatened by natural hazards, such as a bushfire or a flood. A critical component of such models is the inclusion of human behaviour accounting for the decisions made and actions taken by individuals exposed to unfamiliar and potentially stressful situations. This session will explore all aspects related to Human Behaviour Modelling (HBM) for crisis management and will aim to provide an overview of current HBM practices and existing scientific challenges of HBM applied to disaster risk management. We welcome papers that present new modelling approaches for HBM, report on case studies where HBM plays a central role in simulations, offer a critical review of HBM, as well as present contributions from practitioners and end users of these models for real world applications. Papers that discuss uncertainty quantification issues related to HBM, as well as those that focus on any data-related contributions and/or issues in HBM (e.g. data collection, model data fusion, data-driven algorithms) are particularly encouraged.
Key topics: Human behaviour modelling, Crisis management, Natural hazards