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相关论文: Social Vulnerabilities and Wildfire Evacuations: A…

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With increased frequency and intensity due to climate change, wildfires have become a growing global concern. This creates severe challenges for fire and emergency services as well as communities in the wildland-urban interface (WUI). To…

计算机与社会 · 计算机科学 2021-09-17 Xilei Zhao , Yiming Xu , Ruggiero Lovreglio , Erica Kuligowski , Daniel Nilsson , Thomas Cova , Alex Wu , Xiang Yan

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…

计算机与社会 · 计算机科学 2025-05-15 Paige Maas , Zack Almquist , Eugenia Giraudy , JW Schneider

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,…

物理与社会 · 物理学 2024-10-10 Timur Naushirvanov , Erick Elejalde , Kyriaki Kalimeri , Elisa Omodei , Márton Karsai , Leo Ferres

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…

应用统计 · 统计学 2026-01-06 Shangkun Jiang , Ruggiero Lovreglio , Thomas J. Cova , Sangung Park , Susu Xu , Xilei Zhao

Major disasters such as extreme weather events can magnify and exacerbate pre-existing social disparities, with disadvantaged populations bearing disproportionate costs. Despite the implications for equity and emergency planning, we lack a…

Rapid urbanization and climate change have contributed to a significant rise in the frequency and intensity of disasters, which have resulted in three million adults being displaced from their homes in the United States during the past…

物理与社会 · 物理学 2025-07-25 Vaidehi Raipat , Takahiro Yabe

In the event of a fire emergency in the built environment, occupants face a range of evacuation decisions, including the choice of exits. An important question from the standpoint of evacuation safety is how evacuees make these choices and…

人机交互 · 计算机科学 2021-10-25 R Lovreglio , E Dillies , E Kuligowski , A Rahouti , M Haghani

The increasing frequency and severity of wildfire in California, exacerbated by prolonged drought and environmental changes, pose significant challenges to urban community resilience and equitable emergency response. The study investigates…

计算机与社会 · 计算机科学 2026-03-17 Su Yeon Han , Yubin Lee , Jooyoung Yoo , Jeon-Young Kang , Jinwoo Park , Soe W. Myint , Eunsang Cho , Xin Gu , Joon-Seok Kim

Identifying and quantifying factors influencing human decision making remains an outstanding challenge, impacting the performance and predictability of social and technological systems. In many cases, system failures are traced to human…

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…

机器学习 · 计算机科学 2026-03-04 Sazzad Bin Bashar Polock , Anandi Dutta , Subasish Das

The decisions of whether and how to evacuate during a climate disaster are influenced by a wide range of factors, including sociodemographics, emergency messaging, and social influence. Further complexity is introduced when multiple hazards…

计量经济学 · 经济学 2022-02-02 Elisa Borowski , Amanda Stathopoulos

Identifying factors that affect human decision making and quantifying their influence remain essential and challenging tasks for the design and implementation of social and technological communication systems. We report results of a…

物理与社会 · 物理学 2016-12-02 Chantal Nguyen , Fangqiu Han , Kimberly J. Schlesinger , Izzeddin Gür , Jean M. Carlson

Hurricanes are causing unprecedented damage to the natural environment, infrastructure, and communities. Understanding evacuation behavior is essential for improving emergency preparedness. Past studies have relied on surveys and…

应用统计 · 统计学 2026-04-17 Alessandra Recalde , Luyu Liu , Xiaojian Zhang , Sangung Park , Shangkun Jiang , Xilei Zhao

Social vulnerability indices have increased traction for guiding infrastructure investment decisions to prioritize communities that need these investments most. One such plan is the Biden-Harris Justice40 initiative, which aims to guide…

最优化与控制 · 数学 2025-04-03 Madeleine Pollack , Ryan Piansky , Swati Gupta , Daniel Molzahn

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…

机器学习 · 计算机科学 2022-08-22 Rohan Tan Bhowmik

New York City (NYC) topped the global chart for the worst air pollution in June 2023, owing to the wildfire smoke drifting in from Canada. This unprecedented situation caused significant travel disruptions and shifts in traditional activity…

计算机与社会 · 计算机科学 2024-02-06 Khondhaker Al Momin , Md Sami Hasnine , Arif Mohaimin Sadri

Hurricanes are costly natural disasters periodically faced by households in coastal and to some extent, inland areas. A detailed understanding of evacuation behavior is fundamental to the development of efficient emergency plans. Once a…

应用统计 · 统计学 2018-11-27 Hemant Gehlot , Arif Mohaimin Sadri , Satish V. Ukkusuri

Understanding evacuation decision-making behaviour is one of the key components for designing disaster mitigation policies. This study investigates how communications between household agents in a community influence self-evacuation…

多智能体系统 · 计算机科学 2026-02-24 Made Krisnanda , Raymond Chiong , Yang Yang , Kirill Glavatskiy

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…

机器学习 · 计算机科学 2023-04-14 Xiaojian Zhang , Xilei Zhao , Yiming Xu , Ruggiero Lovreglio , Daniel Nilsson

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…

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