Flooding through the lens of mobile phone activity

Torres Fernández, Yolanda ORCID: https://orcid.org/0000-0003-1206-6536, Pastor Escuredo, David, Morales Guzmán, Alfredo, Baue, Jean-Martin, Wadhw, Amit, Castro Correa, Carlos, Romanoff, Liudmyla, Lee, Jong Gun, Rutherford, Alex, Frias Martínez, Vanessa, Oliver, Nuria, Frías Martínez, Enrique and Luengo Oroz, Miguel Ángel ORCID: https://orcid.org/0000-0002-8694-2001 (2014). Flooding through the lens of mobile phone activity. En: "2014 IEEE Global Humanitarian Technology Conference", 10 Oct - 13 Oct 2014, San Jose, California. pp. 279-286.

Descripción

Título: Flooding through the lens of mobile phone activity
Autor/es:
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: 2014 IEEE Global Humanitarian Technology Conference
Fechas del Evento: 10 Oct - 13 Oct 2014
Lugar del Evento: San Jose, California
Título del Libro: Proceedings of the 2014 IEEE Global Humanitarian Technology Conference
Fecha: Noviembre 2014
Materias:
ODS:
Palabras Clave Informales: Emergency Service Allocation, Natural Disaster Response, Mobile Data Analysis, Human Behavior Modeling, Big Data for Development.
Escuela: E.T.S.I. en Topografía, Geodesia y Cartografía (UPM)
Departamento: Ingeniería Topográfica y Cartografía
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

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 epresentativeness 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.

Más información

ID de Registro: 36409
Identificador DC: https://oa.upm.es/36409/
Identificador OAI: oai:oa.upm.es:36409
URL Oficial: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp...
Depositado por: Memoria Investigacion
Depositado el: 03 Feb 2016 16:55
Ultima Modificación: 11 Jun 2024 07:33