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Measures of Human Mobility Using Mobile Phone Records Enhanced with GIS Data
In the past decade, large scale mobile phone data have become available for the study of human movement patterns. These data hold an immense promise for understanding human behavior on a vast scale, and with a precision and accuracy never before possible with censuses, surveys or other existing data...
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/PMC4507852/ https://www.ncbi.nlm.nih.gov/pubmed/26192322 http://dx.doi.org/10.1371/journal.pone.0133630 |
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author | Williams, Nathalie E. Thomas, Timothy A. Dunbar, Matthew Eagle, Nathan Dobra, Adrian |
author_facet | Williams, Nathalie E. Thomas, Timothy A. Dunbar, Matthew Eagle, Nathan Dobra, Adrian |
author_sort | Williams, Nathalie E. |
collection | PubMed |
description | In the past decade, large scale mobile phone data have become available for the study of human movement patterns. These data hold an immense promise for understanding human behavior on a vast scale, and with a precision and accuracy never before possible with censuses, surveys or other existing data collection techniques. There is already a significant body of literature that has made key inroads into understanding human mobility using this exciting new data source, and there have been several different measures of mobility used. However, existing mobile phone based mobility measures are inconsistent, inaccurate, and confounded with social characteristics of local context. New measures would best be developed immediately as they will influence future studies of mobility using mobile phone data. In this article, we do exactly this. We discuss problems with existing mobile phone based measures of mobility and describe new methods for measuring mobility that address these concerns. Our measures of mobility, which incorporate both mobile phone records and detailed GIS data, are designed to address the spatial nature of human mobility, to remain independent of social characteristics of context, and to be comparable across geographic regions and time. We also contribute a discussion of the variety of uses for these new measures in developing a better understanding of how human mobility influences micro-level human behaviors and well-being, and macro-level social organization and change. |
format | Online Article Text |
id | pubmed-4507852 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-45078522015-07-24 Measures of Human Mobility Using Mobile Phone Records Enhanced with GIS Data Williams, Nathalie E. Thomas, Timothy A. Dunbar, Matthew Eagle, Nathan Dobra, Adrian PLoS One Research Article In the past decade, large scale mobile phone data have become available for the study of human movement patterns. These data hold an immense promise for understanding human behavior on a vast scale, and with a precision and accuracy never before possible with censuses, surveys or other existing data collection techniques. There is already a significant body of literature that has made key inroads into understanding human mobility using this exciting new data source, and there have been several different measures of mobility used. However, existing mobile phone based mobility measures are inconsistent, inaccurate, and confounded with social characteristics of local context. New measures would best be developed immediately as they will influence future studies of mobility using mobile phone data. In this article, we do exactly this. We discuss problems with existing mobile phone based measures of mobility and describe new methods for measuring mobility that address these concerns. Our measures of mobility, which incorporate both mobile phone records and detailed GIS data, are designed to address the spatial nature of human mobility, to remain independent of social characteristics of context, and to be comparable across geographic regions and time. We also contribute a discussion of the variety of uses for these new measures in developing a better understanding of how human mobility influences micro-level human behaviors and well-being, and macro-level social organization and change. Public Library of Science 2015-07-20 /pmc/articles/PMC4507852/ /pubmed/26192322 http://dx.doi.org/10.1371/journal.pone.0133630 Text en © 2015 Williams 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 Williams, Nathalie E. Thomas, Timothy A. Dunbar, Matthew Eagle, Nathan Dobra, Adrian Measures of Human Mobility Using Mobile Phone Records Enhanced with GIS Data |
title | Measures of Human Mobility Using Mobile Phone Records Enhanced with GIS Data |
title_full | Measures of Human Mobility Using Mobile Phone Records Enhanced with GIS Data |
title_fullStr | Measures of Human Mobility Using Mobile Phone Records Enhanced with GIS Data |
title_full_unstemmed | Measures of Human Mobility Using Mobile Phone Records Enhanced with GIS Data |
title_short | Measures of Human Mobility Using Mobile Phone Records Enhanced with GIS Data |
title_sort | measures of human mobility using mobile phone records enhanced with gis data |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4507852/ https://www.ncbi.nlm.nih.gov/pubmed/26192322 http://dx.doi.org/10.1371/journal.pone.0133630 |
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