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

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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

Rapid urbanization and climate change trends are intertwined with complex interactions of various social, economic, and political factors. The increased trends of disaster risks have recently caused numerous events, ranging from…

Physics and Society · Physics 2021-08-09 Takahiro Yabe , Nicholas K W Jones , P Suresh C Rao , Marta C Gonzalez , Satish V Ukkusuri

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

Tropical storms cause extensive property damage and loss of life, making them one of the most destructive types of natural hazards. The development of predictive models that identify interventions effective at mitigating storm impacts has…

Atmospheric and Oceanic Physics · Physics 2025-09-24 Jared Markowitz , Alexander New , Jennifer Sleeman , Chace Ashcraft , Jay Brett , Gary Collins , Stella In , Nathaniel Winstead

On September 10, 2017, Hurricane Irma made landfall in the Florida Keys and caused significant damage. Informed by hydrodynamic storm surge and wave modeling and post-storm satellite imagery, a rapid damage survey was soon conducted for…

Applications · Statistics 2018-10-25 Siyuan Xian , Kairui Feng , Ning Lin , Reza Marsooli , Dan Chavas , Jie Chen , Adam Hatzikyriakou

Natural disasters can have devastating and long-lasting effects on a community's emotional well-being. These effects may be distributed unequally, affecting some communities more profoundly and possibly over longer time periods than others.…

Social and Information Networks · Computer Science 2022-10-12 Krishna C. Bathina , Marijn ten Thij , Johan Bollen

Building on recent research for prediction of hurricane trajectories using recurrent neural networks (RNNs), we have developed improved methods and generalized the approach to predict Bayesian intervals in addition to simple point…

Applications · Statistics 2020-03-12 Max Chiswick , Sam Ganzfried

We study collective attention paid towards hurricanes through the lens of $n$-grams on Twitter, a social media platform with global reach. Using hurricane name mentions as a proxy for awareness, we find that the exogenous temporal dynamics…

Significant negative impacts are observed in productivity, economy, and social wellbeing because of the reduced human activity due to extreme events. Community resilience is an important and widely used concept to understand the impacts of…

Social and Information Networks · Computer Science 2023-10-02 Tasnuba Binte Jamal , Samiul Hasan

Natural disasters can significantly disrupt human mobility in urban areas. Studies have attempted to understand and quantify such disruptions using crowdsourced mobility data sets. However, limited research has studied the justice issues of…

Social and Information Networks · Computer Science 2021-03-26 Hengfang Deng , Qi Wang

Water events are the most frequent and costliest climate disasters around the world. In the U.S., an estimated 127 million people who live in coastal areas are at risk of substantial home damage from hurricanes or flooding. In flood…

Computer Vision and Pattern Recognition · Computer Science 2021-09-29 Bahareh Alizadeh , Diya Li , Zhe Zhang , Amir H. Behzadan

It is estimated that over one-fourth of US households experienced a power outage in 2023, costing on average US $\$150$ Bn annually, with $87\%$ of outages caused by natural hazards. Indeed, numerous studies have examined the macroeconomic…

General Economics · Economics 2025-07-29 Matthew Sprintson , Edward Oughton

Evacuation is critical for disaster safety, yet agencies lack timely, accurate, and transparent tools for evacuation prediction. This study introduces Evac-Cast, an interpretable machine learning framework that predicts tract-level…

Physics and Society · Physics 2025-08-04 Bo Li , Chenyue Liu , Ali Mostafavi

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

Gaining timely and reliable situation awareness after hazard events such as a hurricane is crucial to emergency managers and first responders. One effective way to achieve that goal is through damage assessment. Recently, disaster…

Computer Vision and Pattern Recognition · Computer Science 2020-12-17 Quoc Dung Cao , Youngjun Choe

Social media plays increasingly significant roles in disaster response, but effectively leveraging social media for rescue is challenging. This study analyzed rescue requests on Twitter during the 2017 Hurricane Harvey, in which many…

Social and Information Networks · Computer Science 2021-11-16 Lei Zou , Danqing Liao , Nina S. N. Lam , Michelle Meyer , Nasir G. Gharaibeh , Heng Cai , Bing Zhou , Dongying Li

Accurately assessing building damage is critical for disaster response and recovery. However, many existing models for detecting building damage have poor prediction accuracy due to their limited capabilities of identifying detailed,…

Computer Vision and Pattern Recognition · Computer Science 2024-04-12 Zhuoqun Xue , Xiaojian Zhang , David O. Prevatt , Jennifer Bridge , Susu Xu , Xilei Zhao

Storm surge, the onshore rush of sea water caused by the high winds and low pressure associated with a hurricane, can compound the effects of inland flooding caused by rainfall, leading to loss of property and loss of life for residents of…

Applications · Statistics 2009-09-29 Brian J. Reich , Montserrat Fuentes

Nature disasters play a key role in shaping human-urban infrastructure interactions. Effective and efficient response to natural disasters is essential for building resilience and a sustainable urban environment. Two types of information…

Computer Vision and Pattern Recognition · Computer Science 2024-08-14 Hao Li , Fabian Deuser , Wenping Yina , Xuanshu Luo , Paul Walther , Gengchen Mai , Wei Huang , Martin Werner

We clarify the distinction between direct and indirect effects of disasters such as Hurricane Mar\'ia and use data from the Puerto Rico Vital Statistics System to estimate monthly excess deaths in the immediate aftermath of the hurricane…

Applications · Statistics 2020-03-09 Michael Spagat , Stijn van Weezel