FAST: innovative Flash floods, debris, and humAn factor modelling methods for Safe evacuaTion

Flash floods in urban areas are particularly dangerous extreme events, given their tragic impacts on human life and significant social

and economic damage. Evacuation of citizens during these events is crucial to mitigate their impact. Effective evacuation strategies

from flash floods can be developed through the understanding of the interactions among all the components of the process: the

individuals, the flow, the waterborne debris and the urban environment. The impact of waterborne debris on the behaviour of

individuals has not been addressed by existing studies and modelling tools. FAST aims at reducing human losses through improved

evacuation strategies possible thanks to the innovative combination of physics-based, virtual reality and agent-based modelling

approaches. This aim will be achieved thanks to the understanding and modelling of the complex interactions among the flow, the

waterborne debris, and evacuees. To this end, FAST will develop the first computational methodology that combines reliable

simulations of human behaviour and the physical aspects of flash floods, including waterborne debris, to provide the tools to improve

evacuation and emergency response strategies during these events. FAST will exploit the innovative capabilities of virtual reality

environments to conduct an experiment that will allow the development of an agent-based model of the evacuees' behaviour in the

presence of waterborne debris using data-driven and machine learning methods. This model will be verified using a case study for

which data on the flow and human behaviour will be collected. It will be made available as open-source code and combined with a

hydrodynamic model capable of tracking waterborne debris to be used as a comprehensive simulation tool. This research will allow

the fellow to grow as an independent interdisciplinary researcher thanks to training in novel methodologies in virtual reality and agent-based modelling applied to extreme hydrodynamic events.