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Mobile Phone Call Data as a Regional Socio-Economic Proxy Indicator
The advent of publishing anonymized call detail records opens the door for temporal and spatial human dynamics studies. Such studies, besides being useful for creating universal models for mobility patterns, could be also used for creating new socio-economic proxy indicators that will not rely only...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4405276/ https://www.ncbi.nlm.nih.gov/pubmed/25897957 http://dx.doi.org/10.1371/journal.pone.0124160 |
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author | Šćepanović, Sanja Mishkovski, Igor Hui, Pan Nurminen, Jukka K. Ylä-Jääski, Antti |
author_facet | Šćepanović, Sanja Mishkovski, Igor Hui, Pan Nurminen, Jukka K. Ylä-Jääski, Antti |
author_sort | Šćepanović, Sanja |
collection | PubMed |
description | The advent of publishing anonymized call detail records opens the door for temporal and spatial human dynamics studies. Such studies, besides being useful for creating universal models for mobility patterns, could be also used for creating new socio-economic proxy indicators that will not rely only on the local or state institutions. In this paper, from the frequency of calls at different times of the day, in different small regional units (sub-prefectures) in Côte d'Ivoire, we infer users' home and work sub-prefectures. This division of users enables us to analyze different mobility and calling patterns for the different regions. We then compare how those patterns correlate to the data from other sources, such as: news for particular events in the given period, census data, economic activity, poverty index, power plants and energy grid data. Our results show high correlation in many of the cases revealing the diversity of socio-economic insights that can be inferred using only mobile phone call data. The methods and the results may be particularly relevant to policy-makers engaged in poverty reduction initiatives as they can provide an affordable tool in the context of resource-constrained developing economies, such as Côte d'Ivoire's. |
format | Online Article Text |
id | pubmed-4405276 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-44052762015-05-07 Mobile Phone Call Data as a Regional Socio-Economic Proxy Indicator Šćepanović, Sanja Mishkovski, Igor Hui, Pan Nurminen, Jukka K. Ylä-Jääski, Antti PLoS One Research Article The advent of publishing anonymized call detail records opens the door for temporal and spatial human dynamics studies. Such studies, besides being useful for creating universal models for mobility patterns, could be also used for creating new socio-economic proxy indicators that will not rely only on the local or state institutions. In this paper, from the frequency of calls at different times of the day, in different small regional units (sub-prefectures) in Côte d'Ivoire, we infer users' home and work sub-prefectures. This division of users enables us to analyze different mobility and calling patterns for the different regions. We then compare how those patterns correlate to the data from other sources, such as: news for particular events in the given period, census data, economic activity, poverty index, power plants and energy grid data. Our results show high correlation in many of the cases revealing the diversity of socio-economic insights that can be inferred using only mobile phone call data. The methods and the results may be particularly relevant to policy-makers engaged in poverty reduction initiatives as they can provide an affordable tool in the context of resource-constrained developing economies, such as Côte d'Ivoire's. Public Library of Science 2015-04-21 /pmc/articles/PMC4405276/ /pubmed/25897957 http://dx.doi.org/10.1371/journal.pone.0124160 Text en © 2015 Šćepanović et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Šćepanović, Sanja Mishkovski, Igor Hui, Pan Nurminen, Jukka K. Ylä-Jääski, Antti Mobile Phone Call Data as a Regional Socio-Economic Proxy Indicator |
title | Mobile Phone Call Data as a Regional Socio-Economic Proxy Indicator |
title_full | Mobile Phone Call Data as a Regional Socio-Economic Proxy Indicator |
title_fullStr | Mobile Phone Call Data as a Regional Socio-Economic Proxy Indicator |
title_full_unstemmed | Mobile Phone Call Data as a Regional Socio-Economic Proxy Indicator |
title_short | Mobile Phone Call Data as a Regional Socio-Economic Proxy Indicator |
title_sort | mobile phone call data as a regional socio-economic proxy indicator |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4405276/ https://www.ncbi.nlm.nih.gov/pubmed/25897957 http://dx.doi.org/10.1371/journal.pone.0124160 |
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