Natural disasters affect hundreds of millions of people worldwide every year.
Emergency response efforts depend upon the availability of timely information,
such as information concerning the movements of affected populations. The
analysis of aggregated and anonymized Call Detail Records (CDR) captured from
the mobile phone infrastructure provides new possibilities to characterize
human behavior during critical events. In this work, we investigate the
viability of using CDR data combined with other sources of information to
characterize the floods that occurred in Tabasco, Mexico in 2009. An impact map
has been reconstructed using Landsat-7 images to identify the floods. Within
this frame, the underlying communication activity signals in the CDR data have
been analyzed and compared against rainfall levels extracted from data of the
NASA-TRMM project. The variations in the number of active phones connected to
each cell tower reveal abnormal activity patterns in the most affected
locations during and after the floods that could be used as signatures of the
floods - both in terms of infrastructure impact assessment and population
information awareness. The representativeness of the analysis has been assessed
using census data and civil protection records. While a more extensive
validation is required, these early results suggest high potential in using
cell tower activity information to improve early warning and emergency
management mechanisms.
%0 Conference Paper
%1 PastorEscuredo2014Flooding
%A Pastor-Escuredo, David
%A Morales-Guzman, Alfredo
%A Torres-Fernandez, Yolanda
%A Bauer, Jean-Martin
%A Wadhwa, Amit
%A Castro-Correa, Carlos
%A Romanoff, Liudmyla
%A Jong Gun Lee,
%A Rutherford, Alex
%A Frias-Martinez, Vanessa
%A Oliver, Nuria
%A Frias-Martinez, Enrique
%A Luengo-Oroz, Miguel
%B 2014 IEEE Global Humanitarian Technology Conference (GHTC)
%D 2014
%I IEEE
%K disasters, social-networks mobile-phones
%P 279--286
%R 10.1109/GHTC.2014.6970293
%T Flooding through the lens of mobile phone activity
%U http://dx.doi.org/10.1109/GHTC.2014.6970293
%X Natural disasters affect hundreds of millions of people worldwide every year.
Emergency response efforts depend upon the availability of timely information,
such as information concerning the movements of affected populations. The
analysis of aggregated and anonymized Call Detail Records (CDR) captured from
the mobile phone infrastructure provides new possibilities to characterize
human behavior during critical events. In this work, we investigate the
viability of using CDR data combined with other sources of information to
characterize the floods that occurred in Tabasco, Mexico in 2009. An impact map
has been reconstructed using Landsat-7 images to identify the floods. Within
this frame, the underlying communication activity signals in the CDR data have
been analyzed and compared against rainfall levels extracted from data of the
NASA-TRMM project. The variations in the number of active phones connected to
each cell tower reveal abnormal activity patterns in the most affected
locations during and after the floods that could be used as signatures of the
floods - both in terms of infrastructure impact assessment and population
information awareness. The representativeness of the analysis has been assessed
using census data and civil protection records. While a more extensive
validation is required, these early results suggest high potential in using
cell tower activity information to improve early warning and emergency
management mechanisms.
%@ 978-1-4799-7193-0
@inproceedings{PastorEscuredo2014Flooding,
abstract = {{Natural disasters affect hundreds of millions of people worldwide every year.
Emergency response efforts depend upon the availability of timely information,
such as information concerning the movements of affected populations. The
analysis of aggregated and anonymized Call Detail Records (CDR) captured from
the mobile phone infrastructure provides new possibilities to characterize
human behavior during critical events. In this work, we investigate the
viability of using CDR data combined with other sources of information to
characterize the floods that occurred in Tabasco, Mexico in 2009. An impact map
has been reconstructed using Landsat-7 images to identify the floods. Within
this frame, the underlying communication activity signals in the CDR data have
been analyzed and compared against rainfall levels extracted from data of the
NASA-TRMM project. The variations in the number of active phones connected to
each cell tower reveal abnormal activity patterns in the most affected
locations during and after the floods that could be used as signatures of the
floods - both in terms of infrastructure impact assessment and population
information awareness. The representativeness of the analysis has been assessed
using census data and civil protection records. While a more extensive
validation is required, these early results suggest high potential in using
cell tower activity information to improve early warning and emergency
management mechanisms.}},
added-at = {2019-06-10T14:53:09.000+0200},
archiveprefix = {arXiv},
author = {Pastor-Escuredo, David and Morales-Guzman, Alfredo and Torres-Fernandez, Yolanda and Bauer, Jean-Martin and Wadhwa, Amit and Castro-Correa, Carlos and Romanoff, Liudmyla and {Jong Gun Lee} and Rutherford, Alex and Frias-Martinez, Vanessa and Oliver, Nuria and Frias-Martinez, Enrique and Luengo-Oroz, Miguel},
biburl = {https://www.bibsonomy.org/bibtex/2a88e7c17fe3cfdd09f64e5563c3bac81/nonancourt},
booktitle = {2014 IEEE Global Humanitarian Technology Conference (GHTC)},
citeulike-article-id = {13450757},
citeulike-linkout-0 = {http://dx.doi.org/10.1109/GHTC.2014.6970293},
citeulike-linkout-1 = {http://arxiv.org/abs/1411.6574},
citeulike-linkout-2 = {http://arxiv.org/pdf/1411.6574},
day = 24,
doi = {10.1109/GHTC.2014.6970293},
eprint = {1411.6574},
interhash = {72cc420868eeda047ae422af5d4bc602},
intrahash = {a88e7c17fe3cfdd09f64e5563c3bac81},
isbn = {978-1-4799-7193-0},
keywords = {disasters, social-networks mobile-phones},
location = {San Jose, CA, USA},
month = oct,
pages = {279--286},
posted-at = {2014-12-02 20:58:34},
priority = {2},
publisher = {IEEE},
timestamp = {2019-08-01T16:11:36.000+0200},
title = {{Flooding through the lens of mobile phone activity}},
url = {http://dx.doi.org/10.1109/GHTC.2014.6970293},
year = 2014
}