Using Artificial Intelligence for Safe and Effective Wildfire Evacuations

  title={Using Artificial Intelligence for Safe and Effective Wildfire Evacuations},
  author={Xilei Zhao and Ruggiero Lovreglio and Erica D. Kuligowski and Daniel Nilsson},
  journal={Fire Technology},
Estimating Wildfire Evacuation Decision and Departure Timing Using Large-Scale GPS Data
This study proposes a new methodology to analyze human behavior during wildfires by leveraging a large-scale GPS dataset and uses a home-location inference algorithm and an evacuation-behavior inference algorithm, to systematically identify different groups of wildfire evacuees. Expand
A Fire Community Observatory: Interdisciplinary, AI-informed Post-Fire Rapid Response for Improved Water Cycle Science at Watershed Scale
Wildfire is an ecological disturbance that disrupts the hydrological cycle (1, 2). In the past few years, a record number of multiple-and-compounding fires have occurred across urban-wildlandExpand


Modelling and interpreting pre-evacuation decision-making using machine learning
A well-established machine-learning algorithm—random forest—is used to model and predict people's emergency behaviour pre-evacuation and indicates that a decision-maker is more sensitive to the proportion of responding occupants than the number of them; hence, the people sitting in the back are often responding more slowly than the people in the front. Expand
  • 2019
A modelling framework for householder decision-making for wildfire emergencies
A conceptual Wildfire Decision Model, based on nine assumptions derived from existing literature on human behaviour in wildfires, is introduced and a mathematical framework to implement such a model within a simulation tool is proposed. Expand
An open multi-physics framework for modelling wildland-urban interface fire evacuations
Abstract Fire evacuations at wildland-urban interfaces (WUI) pose a serious challenge to the emergency services, and are a global issue affecting thousands of communities around the world. This paperExpand
Rethinking drug design in the artificial intelligence era
The views of a diverse group of international experts on the ‘grand challenges’ in small-molecule drug discovery with AI are presented, including obtaining appropriate data sets, generating new hypotheses, optimizing in a multi-objective manner, reducing cycle times and changing the research culture. Expand
Should We Leave Now? Behavioral Factors in Evacuation Under Wildfire Threat
Wildfires pose a serious threat to life in many countries. For police, fire and emergency services authorities in most jurisdictions in North America and Australia evacuation is now the option thatExpand
Traffic Modeling for Wildland–Urban Interface Fire Evacuation
Recommendations are made for developing traffic models specifically applicable to WUI fire evacuation, including possible integrations with wildfire and pedestrian models. Expand
Should I Stay or Should I Go Now? Or Should I Wait and See? Influences on Wildfire Evacuation Decisions.
To understand why some people leave early, some choose to stay and defend their homes, and others wait to assess conditions before making a final decision, a survey of homeowners in three areas in the United States that recently experienced a wildfire indicates there are two general classes of individuals: those inclined to evacuate and those inclination to stay. Expand
Experiences of sheltering during the Black Saturday bushfires: Implications for policy and research
Abstract More than half of those who died in the 2009 Black Saturday bushfires in Victoria, Australia, were sheltering inside a house at the time of their death. This marks a shift in bushfireExpand
Fires: fund research for citizen safety