Applications of artificial intelligence for disaster management

W Sun, P Bocchini, BD Davison - Natural Hazards, 2020 - Springer
Natural hazards have the potential to cause catastrophic damage and significant
socioeconomic loss. The actual damage and loss observed in the recent decades has …

Social media for intelligent public information and warning in disasters: An interdisciplinary review

C Zhang, C Fan, W Yao, X Hu, A Mostafavi - International Journal of …, 2019 - Elsevier
Social media offers participatory and collaborative structure and collective knowledge
building capacity to the public information and warning approaches. Therefore, the author …

Dynamic population map** using mobile phone data

P Deville, C Linard, S Martin, M Gilbert… - Proceedings of the …, 2014 - National Acad Sciences
During the past few decades, technologies such as remote sensing, geographical
information systems, and global positioning systems have transformed the way the …

[PDF][PDF] A survey of results on mobile phone datasets analysis

VD Blondel, A Decuyper, G Krings - EPJ data science, 2015 - Springer
In this paper, we review some advances made recently in the study of mobile phone
datasets. This area of research has emerged a decade ago, with the increasing availability …

[LIBRO][B] Big crisis data: social media in disasters and time-critical situations

C Castillo - 2016 - books.google.com
Social media is an invaluable source of time-critical information during a crisis. However,
emergency response and humanitarian relief organizations that would like to use this …

Predicting poverty and wealth from mobile phone metadata

J Blumenstock, G Cadamuro, R On - Science, 2015 - science.org
Accurate and timely estimates of population characteristics are a critical input to social and
economic research and policy. In industrialized economies, novel sources of data are …

Predictability of population displacement after the 2010 Haiti earthquake

X Lu, L Bengtsson, P Holme - Proceedings of the National …, 2012 - National Acad Sciences
Most severe disasters cause large population movements. These movements make it
difficult for relief organizations to efficiently reach people in need. Understanding and …

Human mobility in response to COVID-19 in France, Italy and UK

A Galeazzi, M Cinelli, G Bonaccorsi, F Pierri… - Scientific reports, 2021 - nature.com
The COVID-19 pandemic is one of the defining events of our time. National Governments
responded to the global crisis by implementing mobility restrictions to slow down the spread …

Urban sensing using mobile phone network data: a survey of research

F Calabrese, L Ferrari, VD Blondel - Acm computing surveys (csur), 2014 - dl.acm.org
The recent development of telecommunication networks is producing an unprecedented
wealth of information and, as a consequence, an increasing interest in analyzing such data …

Measuring large-scale social networks with high resolution

A Stopczynski, V Sekara, P Sapiezynski, A Cuttone… - PloS one, 2014 - journals.plos.org
This paper describes the deployment of a large-scale study designed to measure human
interactions across a variety of communication channels, with high temporal resolution and …