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Related papers: Estimating Wildfire Evacuation Decision and Depart…

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Vulnerable populations are disproportionately impacted by natural hazards like wildfires. It is crucial to develop equitable and effective evacuation strategies to meet their unique needs. While existing studies offer valuable insights, we…

Physics and Society · Physics 2024-02-13 Yuran Sun , Ana Forrister , Erica D. Kuligowski , Ruggiero Lovreglio , Thomas J. Cova , Xilei Zhao

Wildfire evacuation behavior is highly variable and influenced by complex interactions among household resources, preparedness, and situational cues. Using a large-scale MTurk survey of residents in California, Colorado, and Oregon, this…

Machine Learning · Computer Science 2026-03-04 Sazzad Bin Bashar Polock , Anandi Dutta , Subasish Das

The growing frequency and intensity of wildfires pose serious threats to communities in wildland-urban interface regions. Understanding evacuation behavior is critical for effective emergency planning. This study analyzes evacuation during…

Applications · Statistics 2026-01-06 Shangkun Jiang , Ruggiero Lovreglio , Thomas J. Cova , Sangung Park , Susu Xu , Xilei Zhao

Real-time forecasting of travel demand during wildfire evacuations is crucial for emergency managers and transportation planners to make timely and better-informed decisions. However, few studies focus on accurate travel demand forecasting…

Machine Learning · Computer Science 2023-04-14 Xiaojian Zhang , Xilei Zhao , Yiming Xu , Ruggiero Lovreglio , Daniel Nilsson

The increasing frequency and severity of wildfires pose significant risks to communities, infrastructure, and the environment, especially in Wildland-Urban Interface (WUI) areas. Effective disaster management requires understanding how the…

Social and Information Networks · Computer Science 2024-11-25 Zihui Ma , Guangxiao Hu , Ting-Syuan Lin , Lingyao Li , Songhua Hu , Loni Hagen , Gregory B. Baecher

Over the past couple of decades, the number of wildfires and area of land burned around the world has been steadily increasing, partly due to climatic changes and global warming. Therefore, there is a high probability that more people will…

Climate change is altering the frequency and intensity of wildfires, leading to increased evacuation events that disrupt human mobility and socioeconomic structures. These disruptions affect access to resources, employment, and housing,…

Physics and Society · Physics 2024-10-10 Timur Naushirvanov , Erick Elejalde , Kyriaki Kalimeri , Elisa Omodei , Márton Karsai , Leo Ferres

Wildfires are increasingly impacting the environment, human health and safety. Among the top 20 California wildfires, those in 2020-2021 burned more acres than the last century combined. California's 2018 wildfire season caused damages of…

Machine Learning · Computer Science 2022-08-22 Rohan Tan Bhowmik

Due to climate change and the disruption of ecosystems worldwide, wildfires are increasingly impacting environment, infrastructure, and human lives globally. Additionally, an exacerbating climate crisis means that these losses would…

Machine Learning · Computer Science 2025-09-16 Rohan Tan Bhowmik , Youn Soo Jung , Juan Aguilera , Mary Prunicki , Kari Nadeau

Given the increasing prevalence of wildland fires in the Western US, there is a critical need to develop tools to understand and accurately predict burn severity. We develop a machine learning model to predict post-fire burn severity using…

Predicting the evacuation decisions of individuals before the disaster strikes is crucial for planning first response strategies. In addition to the studies on post-disaster analysis of evacuation behavior, there are various works that…

Social and Information Networks · Computer Science 2019-09-09 Takahiro Yabe , Kota Tsubouchi , Toru Shimizu , Yoshihide Sekimoto , Satish V. Ukkusuri

Wildfire is an important system process of the earth that occurs across a wide range of spatial and temporal scales. A variety of methods have been used to predict wildfire phenomena during the past century to better our understanding of…

Applications · Statistics 2013-12-24 S. W. Taylor , Douglas G. Woolford , C. B. Dean , David L. Martell

Recent wildfires in the United States have resulted in loss of life and billions of dollars, destroying countless structures and forests. Fighting wildfires is extremely complex. It is difficult to observe the true state of fires due to…

Artificial Intelligence · Computer Science 2020-10-16 Tina Diao , Samriddhi Singla , Ayan Mukhopadhyay , Ahmed Eldawy , Ross Shachter , Mykel Kochenderfer

UAVs are playing an increasingly important role in the field of wilderness rescue by virtue of their flexibility. This paper proposes a fusion of UAV vision technology and satellite image analysis technology for active wildfires detection…

Artificial Intelligence · Computer Science 2023-12-07 Chang Liu , Tamas Sziranyi

Wildfires are a disastrous phenomenon which cause damage to land, loss of property, air pollution, and even loss of human life. Due to the warmer and drier conditions created by climate change, more severe and uncontrollable wildfires are…

Computer Vision and Pattern Recognition · Computer Science 2022-11-04 Omkar Ranadive , Jisu Kim , Serin Lee , Youngseo Cha , Heechan Park , Minkook Cho , Young K. Hwang

Evacuation in response to natural disasters is a complex process involving multiple decision-makers at the personal, household, community, and government levels. Consequently, many disparate factors influence who evacuates, when, and how to…

Computers and Society · Computer Science 2025-05-15 Paige Maas , Zack Almquist , Eugenia Giraudy , JW Schneider

Due to recent climate changes, we have seen more frequent and severe wildfires in the United States. Predicting wildfires is critical for natural disaster prevention and mitigation. Advances in technologies in data processing and…

Machine Learning · Computer Science 2022-09-22 Hyung-Jin Yoon , Petros Voulgaris

Wildfires are uncontrolled fires in the environment that can be caused by humans or nature. In 2020 alone, wildfires in California have burned 4.2 million acres, damaged 10,500 buildings or structures, and killed more than 31 people,…

Computer Vision and Pattern Recognition · Computer Science 2021-09-14 Samarth Shah

We study the problem of evacuation planning for natural disasters, focusing on wildfire evacuations. By creating pre-planned evacuation routes that can be updated based on real-time data, we provide an easily adjustable approach to…

Optimization and Control · Mathematics 2025-07-10 Steffen Borgwardt , Nicholas Crawford , Drew Horton , Angela Morrison , Emily Speakman

Wildfire is one of the biggest disasters that frequently occurs on the west coast of the United States. Many efforts have been made to understand the causes of the increases in wildfire intensity and frequency in recent years. In this work,…

Machine Learning · Computer Science 2021-09-07 Tanqiu Jiang , Sidhant K. Bendre , Hanjia Lyu , Jiebo Luo
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