Mobile phone location data for disasters: A review from natural hazards and epidemics

T Yabe, NKW Jones, PSC Rao, MC Gonzalez… - … Environment and Urban …, 2022 - Elsevier
Rapid urbanization and climate change trends, intertwined with complex interactions of
various social, economic, and political factors, have resulted in an increase in the frequency …

Using mobile phone data for emergency management: a systematic literature review

Y Wang, J Li, X Zhao, G Feng, X Luo - Information Systems Frontiers, 2020 - Springer
Emergency management (EM) has always been a concern of people from all walks of life
due to the devastating impacts emergencies can have. The global outbreak of COVID-19 in …

Exploring the landscape of data analysis: a review of its application and impact in Ecuador

M Ayala-Chauvin, F Avilés-Castillo, J Buele - Computers, 2023 - mdpi.com
Highlights Latin America has shown increased big data adoption since 2012; Ecuador is
now entering this transformative field. Science and engineering in Ecuador have benefited …

Clouded skies: How digital technologies could reshape “Loss and Damage” from climate change

G Bettini, G Gioli, R Felli - Wiley Interdisciplinary Reviews …, 2020 - Wiley Online Library
As dangerous climate change becomes more and more likely, a consensus has been
reached on the importance of addressing Loss and Damage (L&D) residual to mitigation (ie …

Using mobile phone data to map evacuation and displacement: a case study of the central Italy earthquake

F Giardini, NS Hadjidimitriou, M Mamei, G Bastardi… - Scientific reports, 2023 - nature.com
Population displacement is one of the most common consequences of disasters, and it can
profoundly affect communities and territories. However, gaining an accurate measure of the …

A methodology for performance estimation of bot-based applications for natural disasters

L Veas-Castillo, J Ovando-Leon, C Bonacic… - … Modelling Practice and …, 2024 - Elsevier
Natural disasters drastically impact the society, causing emotional disorders as well as
serious accidents that can lead to death. These kinds of disasters cause serious damage in …

ViWise: Fusing Visual and Wireless Sensing Data for Trajectory Relationship Recognition

FJ Wu, SW Lai, SI Sou - ACM Transactions on Internet of Things, 2023 - dl.acm.org
People usually form a social structure (eg, a leader-follower, companion, or independent
group) for better interactions among them and thus share similar perceptions of visible …

Estimating urban socioeconomic inequalities through airtime top-up transactions data

E Cruz, C Vaca, M Villavicencio - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Eradicating poverty in all its forms everywhere remains as the number one Sustainable
Development Goal of the 2030 Agenda for Sustainable Development. Developing countries …

Anatomizing Societal Recovery at the Microscale: Heterogeneity in Household Lifestyle Activities Rebounding after Disasters

N Coleman, C Liu, A Mostafavi - arXiv preprint arXiv:2406.17993, 2024 - arxiv.org
This study presents a granular analysis of societal recovery from disasters at the individual
level, focusing on the aftermath of Hurricane Harvey and Hurricane Ida. Societal recovery is …

Mining top-up transactions and online classified ads to predict urban neighborhoods socioeconomic status

E Cruz, C Vaca, A Avendaño - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Quantifying income inequalities in developing countries faces challenges regarding data
publicly available. Census data, collected every five or ten years, is the only source for …