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This study presents a comprehensive analysis of four significant California wildfires: Palisades, Eaton, Kenneth, and Hurst, examining their impacts through multiple dimensions, including land cover change, jurisdictional management,…

Signal Processing · Electrical Eng. & Systems 2025-01-31 Seyd Teymoor Seydi

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

Wildfires in urbanized regions, particularly within the wildland-urban interface, have significantly intensified in frequency and severity, driven by rapid urban expansion and climate change. This study aims to provide a comprehensive,…

General Economics · Economics 2025-05-06 Zongrong Li , Haiyang Li , Yifan Yang , Siqin Wang , Yingxin Zhu

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

In 2020, California required San Francisco to consider equity in access to resources such as housing, transportation, and emergency services as it re-opened its economy post-pandemic. Using a public dataset maintained by the San Francisco…

Applications · Statistics 2021-09-09 Robert Newton , Soundar Kumara , Paul Griffin

Wildfires have become increasingly frequent, irregular, and severe in recent years. Understanding how affected populations perceive and respond during wildfire crises is critical for timely and empathetic disaster response. Social media…

Social and Information Networks · Computer Science 2026-01-06 Sulong Zhou , Qunying Huang , Shaoheng Zhou , Yun Hang , Xinyue Ye , Aodong Mei , Kathryn Phung , Yuning Ye , Uma Govindswamy , Zehan Li

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

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

Natural hazards cause disruptions in access to critical facilities, such as grocery stores, impeding residents ability to prepare for and cope with hardships during the disaster and recovery; however, disrupted access to critical facilities…

Physics and Society · Physics 2022-10-25 Amir Esmalian , Natalie Coleman , Faxi Yuan , Xin Xiao , Ali Mostafavi

This paper investigates how COVID-19 disrupted emergency housing shelter access patterns in Calgary, Canada and what aspects of these changes persist to the present day. This analysis will utilize aggregated shelter access data for over…

Computers and Society · Computer Science 2023-08-17 Geoffrey G. Messier

Wildfires have significantly increased in the United States (U.S.), making certain areas harder to live in. This motivates us to jointly analyze active fires and population changes in the U.S. from July 2020 to June 2021. The available data…

Methodology · Statistics 2024-11-19 Shijie Zhou , Jonathan R. Bradley

Climate change is intensifying wildfire risks globally, making reliable forecasting critical for adaptation strategies. While machine learning shows promise for wildfire prediction from Earth observation data, current approaches lack…

Machine Learning · Computer Science 2025-10-14 Aditya Chakravarty

The critical need for sophisticated detection techniques has been highlighted by the rising frequency and intensity of wildfires in the US, especially in California. In 2023, wildfires caused 130 deaths nationwide, the highest since 1990.…

Computer Vision and Pattern Recognition · Computer Science 2025-05-26 Gowtham Raj Vuppari , Navarun Gupta , Ahmed El-Sayed , Xingguo Xiong

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

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

Emergency services play a crucial role in safeguarding human life and property within society. In this paper, we propose a network-based methodology for calculating transportation access between emergency services and the broader community.…

Physics and Society · Physics 2024-04-29 Sukhwan Chung , Madison Smith , Andrew Jin , Luke Hogewood , Maksim Kitsak , Jeffrey Cegan , Igor Linkov

Disaster-induced power outages create cascading disruptions across urban lifelines, yet the timed coupling between grid failure and essential service access remains poorly quantified. Focusing on Hurricane Beryl in Houston (2024), this…

Applications · Statistics 2025-11-20 Junwei Ma , Bo Li , Xiangpeng Li , Ali Mostafavi

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

Freight truck-related crashes pose significant challenges, leading to substantial economic losses, injuries, and fatalities, with pronounced spatial disparities across different regions. This study adopts a transport geography perspective…

Machine Learning · Computer Science 2024-11-27 Yichen Wang , Hao Yin , Yifan Yang , Chenyang Zhao , Siqin Wang

The energy sector in the United States is ever more vulnerable to extreme climatic hazards, leading to multiple hazard-induced and managed power outages. Utility companies reportedly prioritize the restoration of power systems based on the…

Physics and Society · Physics 2024-03-28 Natalie Coleman , Amir Esmalian , Cheng-Chun Lee , Eulises Gonzales , Pranik Koirala , Ali Mostafavi
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