English
Related papers

Related papers: Location Intelligence Reveals the Extent, Timing, …

200 papers

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 study aims to quantify community resilience based on fluctuations in the visits to various Point-of-Interest (POIs) locations. Visit to POIs is an essential indicator of human activities and captures the combined effects of…

Physics and Society · Physics 2020-11-24 Cristian Podesta , Natalie Coleman , Amir Esmalian , Faxi Yuan , Ali Mostafavi

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

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

There is a limitation in the literature of data-driven analyses for the ex-post evaluation of community risk and resilience, particularly using features related to the performance of coupled human-infrastructure systems. To address this…

Computers and Society · Computer Science 2025-01-22 Xiangpeng Li , Ali Mostafavi

The ability to measure and track the speed and trajectory of a community's post-disaster recovery is essential to inform resource allocation and prioritization. The current survey-based approaches to examining community recovery, however,…

Social and Information Networks · Computer Science 2022-11-24 Yuqin Jiang , Faxi Yuan , Hamed Farahmand , Kushal Acharya , Jingdi Zhang , Ali Mostafavi

The objective of this study is to examine spatial patterns of impacts and recovery of communities based on variances in credit card transactions. Such variances could capture the collective effects of household impacts, disrupted accesses,…

Computers and Society · Computer Science 2021-01-26 Faxi Yuan , Amir Esmalian , Bora Oztekin , Ali Mostafavi

Despite the criticality of dialysis facilities, limited knowledge exists regarding the extent and inequality of disrupted access caused by weather events. This study uses mobility data in the context of the 2017 Hurricane Harvey in Harris…

Physics and Society · Physics 2022-08-29 Faxi Yuan , Hamed Farahmand , Russell Blessing , Samuel Brody , Ali Mostafavi

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

Understanding how urban residents travel between neighborhoods and destinations is critical for transportation planning, mobility management, and public health. By mining historical origin-to-destination flow patterns with spatial,…

Computational Engineering, Finance, and Science · Computer Science 2025-10-06 Lin Pang , Jidong J. Yang

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

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

As Earth's climate changes, it is impacting disasters and extreme weather events across the planet. Record-breaking heat waves, drenching rainfalls, extreme wildfires, and widespread flooding during hurricanes are all becoming more frequent…

Artificial Intelligence · Computer Science 2026-05-07 Hao Li , Fabian Deuser , Wenping Yin , Steffen Knoblauch , Wufan Zhao , Filip Biljecki , Yong Xue , Wei Huang

Rapid damage assessment is of crucial importance to emergency responders during hurricane events, however, the evaluation process is often slow, labor-intensive, costly, and error-prone. New advances in computer vision and remote sensing…

Computer Vision and Pattern Recognition · Computer Science 2018-12-14 Sean Andrew Chen , Andrew Escay , Christopher Haberland , Tessa Schneider , Valentina Staneva , Youngjun Choe

Principled decision making in emergency response management necessitates the use of statistical models that predict the spatial-temporal likelihood of incident occurrence. These statistical models are then used for proactive stationing…

Machine Learning · Computer Science 2021-06-16 Sayyed Mohsen Vazirizade , Ayan Mukhopadhyay , Geoffrey Pettet , Said El Said , Hiba Baroud , Abhishek Dubey

We use mobile phone call detail records to estimate the resettlement times of a subset of individuals that have been previously identified to be internally displaced persons (IDPs) following a sudden-onset disaster. Four different mobility…

Physics and Society · Physics 2019-08-08 Tracey Li , Jesper Dejby , Maximilian Albert , Linus Bengtsson , Veronique Lefebvre

After a hurricane, damage assessment is critical to emergency managers for efficient response and resource allocation. One way to gauge the damage extent is to quantify the number of flooded/damaged buildings, which is traditionally done by…

Computer Vision and Pattern Recognition · Computer Science 2020-07-09 Quoc Dung Cao , Youngjun Choe

Estimation of people's home locations using location-based services data from smartphones is a common task in human mobility assessment. However, commonly used home detection algorithms (HDAs) are often arbitrary and unexamined. In this…

Computers and Society · Computer Science 2024-01-15 Rajat Verma , Shagun Mittal , Zengxiang Lei , Xiaowei Chen , Satish V. Ukkusuri

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

New crisis response and management approaches that incorporate the latest information technologies are essential in all phases of emergency preparedness and response, including the planning, response, recovery, and assessment phases.…

Computers and Society · Computer Science 2020-06-01 Ben Ortiz , Laura Kahn , Marc Bosch , Philip Bogden , Viveca Pavon-Harr , Onur Savas , Ian McCulloh
‹ Prev 1 2 3 10 Next ›