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Explaining the power-law distribution of human mobility through transportation modality decomposition
Human mobility has been empirically observed to exhibit Lévy flight characteristics and behaviour with power-law distributed jump size. The fundamental mechanisms behind this behaviour has not yet been fully explained. In this paper, we propose to explain the Lévy walk behaviour observed in human mo...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5375979/ https://www.ncbi.nlm.nih.gov/pubmed/25779306 http://dx.doi.org/10.1038/srep09136 |
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author | Zhao, Kai Musolesi, Mirco Hui, Pan Rao, Weixiong Tarkoma, Sasu |
author_facet | Zhao, Kai Musolesi, Mirco Hui, Pan Rao, Weixiong Tarkoma, Sasu |
author_sort | Zhao, Kai |
collection | PubMed |
description | Human mobility has been empirically observed to exhibit Lévy flight characteristics and behaviour with power-law distributed jump size. The fundamental mechanisms behind this behaviour has not yet been fully explained. In this paper, we propose to explain the Lévy walk behaviour observed in human mobility patterns by decomposing them into different classes according to the different transportation modes, such as Walk/Run, Bike, Train/Subway or Car/Taxi/Bus. Our analysis is based on two real-life GPS datasets containing approximately 10 and 20 million GPS samples with transportation mode information. We show that human mobility can be modelled as a mixture of different transportation modes, and that these single movement patterns can be approximated by a lognormal distribution rather than a power-law distribution. Then, we demonstrate that the mixture of the decomposed lognormal flight distributions associated with each modality is a power-law distribution, providing an explanation to the emergence of Lévy Walk patterns that characterize human mobility patterns. |
format | Online Article Text |
id | pubmed-5375979 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-53759792017-04-03 Explaining the power-law distribution of human mobility through transportation modality decomposition Zhao, Kai Musolesi, Mirco Hui, Pan Rao, Weixiong Tarkoma, Sasu Sci Rep Article Human mobility has been empirically observed to exhibit Lévy flight characteristics and behaviour with power-law distributed jump size. The fundamental mechanisms behind this behaviour has not yet been fully explained. In this paper, we propose to explain the Lévy walk behaviour observed in human mobility patterns by decomposing them into different classes according to the different transportation modes, such as Walk/Run, Bike, Train/Subway or Car/Taxi/Bus. Our analysis is based on two real-life GPS datasets containing approximately 10 and 20 million GPS samples with transportation mode information. We show that human mobility can be modelled as a mixture of different transportation modes, and that these single movement patterns can be approximated by a lognormal distribution rather than a power-law distribution. Then, we demonstrate that the mixture of the decomposed lognormal flight distributions associated with each modality is a power-law distribution, providing an explanation to the emergence of Lévy Walk patterns that characterize human mobility patterns. Nature Publishing Group 2015-03-16 /pmc/articles/PMC5375979/ /pubmed/25779306 http://dx.doi.org/10.1038/srep09136 Text en Copyright © 2015, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder in order to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Zhao, Kai Musolesi, Mirco Hui, Pan Rao, Weixiong Tarkoma, Sasu Explaining the power-law distribution of human mobility through transportation modality decomposition |
title | Explaining the power-law distribution of human mobility through transportation
modality decomposition |
title_full | Explaining the power-law distribution of human mobility through transportation
modality decomposition |
title_fullStr | Explaining the power-law distribution of human mobility through transportation
modality decomposition |
title_full_unstemmed | Explaining the power-law distribution of human mobility through transportation
modality decomposition |
title_short | Explaining the power-law distribution of human mobility through transportation
modality decomposition |
title_sort | explaining the power-law distribution of human mobility through transportation
modality decomposition |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5375979/ https://www.ncbi.nlm.nih.gov/pubmed/25779306 http://dx.doi.org/10.1038/srep09136 |
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