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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

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 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

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

This study presents a framework for assessing urban critical infrastructure resilience during extreme events, such as hurricanes. The approach combines GIS and network analysis with open remote sensing data of the aftermath, vector data on…

Physics and Society · Physics 2024-12-19 Pavel O. Kiparisov , Viktor V. Lagutov

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

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

The mobility of residents and their access to essential services can be highly affected by transportation network closures that occur during and after coastal hazard events. Few studies have used geographic information systems coupled with…

Computers and Society · Computer Science 2020-06-02 Georgios P. Balomenos , Yujie Hu , Jamie E. Padgett , Kyle Shelton

This study presents an agent-based model (ABM) developed to simulate the resilience of a community to hurricane-induced infrastructure disruptions, focusing on the interdependencies between electric power and transportation networks. In…

Computational Engineering, Finance, and Science · Computer Science 2025-05-06 Tasnuba Binte Jamal , Samiul Hasan , Omar I. Abdul-Aziz , Pallab Mozumder , Rounak Meyur

Hurricane evacuation has become a major problem for the coastal residents of the United States. Devastating hurricanes have threatened the lives and infrastructure of coastal communities and caused billions of dollars in damage. There is a…

Physics and Society · Physics 2023-11-14 Zaheen E Muktadi Syed , Samiul Hasan

This paper introduces a probabilistic framework to quantify community vulnerability towards power losses due to extreme weather events. To analyze the impact of weather events on the power grid, the wind fields of historical hurricanes from…

Systems and Control · Electrical Eng. & Systems 2023-11-28 Abodh Poudyal , Shishir Lamichhane , Charlotte Wertz , Sajjad Uddin Mahmud , Anamika Dubey

During and after disasters, highways provide vital routes for emergency services, relief efforts, and evacuation activities. Thus, a timely and reliable assessment of disaster impacts on highways is critical for decision-makers to quickly…

Social and Information Networks · Computer Science 2019-09-10 Yudi Chen , Qi Wang , Wenying Ji

Hurricane Ian is the deadliest and costliest hurricane in Florida's history, with 2.5 million people ordered to evacuate. As we witness increasingly severe hurricanes in the context of climate change, mobile device location data offers an…

Computational Engineering, Finance, and Science · Computer Science 2024-07-23 Luyu Liu , Xiaojian Zhang , Shangkun Jiang , Xilei Zhao

Accurate traffic prediction is vital for effective traffic management during hurricane evacuation. This paper proposes a predictive modeling system that integrates Multilayer Perceptron (MLP) and Long-Short Term Memory (LSTM) models to…

Machine Learning · Computer Science 2024-06-19 Qinhua Jiang , Brian Yueshuai He , Changju Lee , Jiaqi Ma

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

For an approaching disaster, the tracking of time-sensitive critical information such as hurricane evacuation notices is challenging in the United States. These notices are issued and distributed rapidly by numerous local authorities that…

Information Retrieval · Computer Science 2024-01-17 Tingting Zhao , Shubo Tian , Jordan Daly , Melissa Geiger , Minna Jia , Jinfeng Zhang

Power outages caused by extreme weather events, such as hurricanes, can significantly disrupt essential services and delay recovery efforts, underscoring the importance of enhancing our infrastructure's resilience. This study investigates…

Information Retrieval · Computer Science 2024-07-16 Avishek Bose , Sangkeun Lee , Narayan Bhusal , Supriya Chinthavali

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

Floods affected more than 2 billion people worldwide from 1998 to 2017 and their occurrence is expected to increase due to climate warming, population growth and rapid urbanization. Recent approaches for understanding the resilience of…

Physics and Society · Physics 2022-02-03 Simone Loreti , Enrico Ser-Giacomi , Andreas Zischg , Margreth Keiler , Marc Barthelemy

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
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