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Related papers: Hurricane Evacuation Analysis with Large-scale Mob…

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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…

Applications · Statistics 2026-04-17 Alessandra Recalde , Luyu Liu , Xiaojian Zhang , Sangung Park , Shangkun Jiang , Xilei Zhao

Understanding individuals' behavior during hurricane evacuation is of paramount importance for local, state, and government agencies hoping to be prepared for natural disasters. Complexities involved with human decision-making procedures…

Machine Learning · Computer Science 2021-02-26 Aref Darzi , Vanessa Frias-Martinez , Sepehr Ghader , Hannah Younes , Lei Zhang

Traffic prediction during hurricane evacuation is essential for optimizing the use of transportation infrastructures. It can reduce evacuation time by providing information on future congestion in advance. However, evacuation traffic…

Machine Learning · Computer Science 2023-11-17 Md Mobasshir Rashid , Rezaur Rahman , Samiul Hasan

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…

Applications · Statistics 2018-11-27 Hemant Gehlot , Arif Mohaimin Sadri , Satish V. Ukkusuri

Recent Hurricane Irma (2017) created the most extensive scale of evacuation in Florida's history, involving about 6.5 million people on mandatory evacuation order and 4 million evacuation vehicles. To understand the hurricane evacuation…

Physics and Society · Physics 2018-07-31 Kairui Feng , Ning Lin

Understanding the spatiotemporal road network accessibility during a hurricane evacuation, the level of ease of residents in an area in reaching evacuation destination sites through the road network, is a critical component of emergency…

Physics and Society · Physics 2020-06-26 Yi-Jie Zhu , Yujie Hu , Jennifer M. Collins

Hurricane evacuation, ordered to save lives of people of coastal regions, generates high traffic demand with increased crash risk. To mitigate such risk, transportation agencies need to anticipate highway locations with high crash risks to…

Machine Learning · Statistics 2023-06-16 Zaheen E Muktadi Syed , Samiul Hasan

Hurricanes cause significant economic and human costs, requiring individuals to make critical evacuation decisions under uncertainty and stress. To enhance the understanding of this decision-making process, we propose using Bayesian…

Artificial Intelligence · Computer Science 2024-10-01 Hui Sophie Wang , Nutchanon Yongsatianchot , Stacy Marsella

Data collected at Hurricane Ian (2022) quantifies the demands that small uncrewed aerial systems (UAS), or drones, place on the network communication infrastructure and identifies gaps in the field. Drones have been increasingly used since…

Robotics · Computer Science 2023-09-06 Thomas Manzini , Robin Murphy , David Merrick , Justin Adams

Improving hurricane preparedness is essential to reduce hurricane impacts. Inherent in traditional methods for quantifying and monitoring hurricane preparedness are significant lags. This study establishes a methodological framework to…

Computers and Society · Computer Science 2022-03-22 Bo Li , Ali Mostafavi

In recent years, extreme shocks, such as natural disasters, are increasing in both frequency and intensity, causing significant economic loss to many cities around the world. Quantifying the economic cost of local businesses after extreme…

General Finance · Quantitative Finance 2020-04-24 Takahiro Yabe , Yunchang Zhang , Satish Ukkusuri

Hurricanes severely disrupt infrastructure and restrict access to essential services. While the physical impacts on post-disaster mobility are well studied, less is known about how individual travel behaviors change during and after…

Social and Information Networks · Computer Science 2026-01-16 Qian He , Zihui Ma , Songhua Hu , Behnam Tahmasbi

Florida is particularly vulnerable to hurricanes, which frequently cause substantial economic losses. While prior studies have explored specific contributors to hurricane-induced damage, few have developed a unified framework capable of…

Computational Engineering, Finance, and Science · Computer Science 2025-06-24 Bolin Shen , Eren Erman Ozguven , Yue Zhao , Guang Wang , Yiqun Xie , Yushun Dong

We use wireless voice-call and text-message volumes to quantify spatiotemporal communication patterns in the New York Metro area before, during, and after the Virginia earthquake and Hurricane Irene in 2011. The earthquake produces an…

Social and Information Networks · Computer Science 2015-06-08 Christopher Small , Richard Becker , Ramón Cáceres , Simon Urbanek

This paper provides a summary of the 281 sorties that were flown by the 10 different models of small unmanned aerial systems (sUAS) at Hurricane Ian, and the failures made in the field. These 281 sorties, supporting 44 missions, represents…

Robotics · Computer Science 2023-10-17 Thomas Manzini , Robin Murphy , David Merrick

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…

The aggravating effects of climate change and the growing population in hurricane-prone areas escalate the challenges in large-scale hurricane evacuations. While hurricane preparedness and response strategies vastly rely on the accuracy and…

Machine Learning · Computer Science 2023-03-14 Yuran Sun , Shih-Kai Huang , Xilei Zhao

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…

Computers and Society · Computer Science 2021-09-17 Xilei Zhao , Yiming Xu , Ruggiero Lovreglio , Erica Kuligowski , Daniel Nilsson , Thomas Cova , Alex Wu , Xiang Yan

Despite the importance of predicting evacuation mobility dynamics after large scale disasters for effective first response and disaster relief, our general understanding of evacuation behavior remains limited because of the lack of…

Computational Engineering, Finance, and Science · Computer Science 2019-03-06 Takahiro Yabe , Yoshihide Sekimoto , Kota Tsubouchi , Satoshi Ikemoto

The multifaceted nature of disaster impact shows that densely populated areas contribute more to aggregate burden, while sparsely populated but heavily affected regions suffer disproportionately at the individual level. This study…

Physics and Society · Physics 2025-09-09 Xiangpeng Li , Junwei Ma , Bo Li , Ali Mostafavi
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