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Weather Effects on the Patterns of People's Everyday Activities: A Study Using GPS Traces of Mobile Phone Users

This study explores the effects that the weather has on people's everyday activity patterns. Temperature, rainfall, and wind speed were used as weather parameters. People's daily activity patterns were inferred, such as place visited, the time this took place, the duration of the visit, ba...

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Detalles Bibliográficos
Autores principales: Horanont, Teerayut, Phithakkitnukoon, Santi, Leong, Tuck W., Sekimoto, Yoshihide, Shibasaki, Ryosuke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3867318/
https://www.ncbi.nlm.nih.gov/pubmed/24367481
http://dx.doi.org/10.1371/journal.pone.0081153
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author Horanont, Teerayut
Phithakkitnukoon, Santi
Leong, Tuck W.
Sekimoto, Yoshihide
Shibasaki, Ryosuke
author_facet Horanont, Teerayut
Phithakkitnukoon, Santi
Leong, Tuck W.
Sekimoto, Yoshihide
Shibasaki, Ryosuke
author_sort Horanont, Teerayut
collection PubMed
description This study explores the effects that the weather has on people's everyday activity patterns. Temperature, rainfall, and wind speed were used as weather parameters. People's daily activity patterns were inferred, such as place visited, the time this took place, the duration of the visit, based on the GPS location traces of their mobile phones overlaid upon Yellow Pages information. Our analysis of 31,855 mobile phone users allowed us to infer that people were more likely to stay longer at eateries or food outlets, and (to a lesser degree) at retail or shopping areas when the weather is very cold or when conditions are calm (non-windy). When compared to people's regular activity patterns, certain weather conditions affected people's movements and activities noticeably at different times of the day. On cold days, people's activities were found to be more diverse especially after 10AM, showing greatest variations between 2PM and 6PM. A similar trend is observed between 10AM and midnight on rainy days, with people's activities found to be most diverse on days with heaviest rainfalls or on days when the wind speed was stronger than 4 km/h, especially between 10AM–1AM. Finally, we observed that different geographical areas of a large metropolis were impacted differently by the weather. Using data of urban infrastructure to characterize areas, we found strong correlations between weather conditions upon people's accessibility to trains. This study sheds new light on the influence of weather conditions on human behavior, in particular the choice of daily activities and how mobile phone data can be used to investigate the influence of environmental factors on urban dynamics.
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spelling pubmed-38673182013-12-23 Weather Effects on the Patterns of People's Everyday Activities: A Study Using GPS Traces of Mobile Phone Users Horanont, Teerayut Phithakkitnukoon, Santi Leong, Tuck W. Sekimoto, Yoshihide Shibasaki, Ryosuke PLoS One Research Article This study explores the effects that the weather has on people's everyday activity patterns. Temperature, rainfall, and wind speed were used as weather parameters. People's daily activity patterns were inferred, such as place visited, the time this took place, the duration of the visit, based on the GPS location traces of their mobile phones overlaid upon Yellow Pages information. Our analysis of 31,855 mobile phone users allowed us to infer that people were more likely to stay longer at eateries or food outlets, and (to a lesser degree) at retail or shopping areas when the weather is very cold or when conditions are calm (non-windy). When compared to people's regular activity patterns, certain weather conditions affected people's movements and activities noticeably at different times of the day. On cold days, people's activities were found to be more diverse especially after 10AM, showing greatest variations between 2PM and 6PM. A similar trend is observed between 10AM and midnight on rainy days, with people's activities found to be most diverse on days with heaviest rainfalls or on days when the wind speed was stronger than 4 km/h, especially between 10AM–1AM. Finally, we observed that different geographical areas of a large metropolis were impacted differently by the weather. Using data of urban infrastructure to characterize areas, we found strong correlations between weather conditions upon people's accessibility to trains. This study sheds new light on the influence of weather conditions on human behavior, in particular the choice of daily activities and how mobile phone data can be used to investigate the influence of environmental factors on urban dynamics. Public Library of Science 2013-12-18 /pmc/articles/PMC3867318/ /pubmed/24367481 http://dx.doi.org/10.1371/journal.pone.0081153 Text en © 2013 Horanont 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
Horanont, Teerayut
Phithakkitnukoon, Santi
Leong, Tuck W.
Sekimoto, Yoshihide
Shibasaki, Ryosuke
Weather Effects on the Patterns of People's Everyday Activities: A Study Using GPS Traces of Mobile Phone Users
title Weather Effects on the Patterns of People's Everyday Activities: A Study Using GPS Traces of Mobile Phone Users
title_full Weather Effects on the Patterns of People's Everyday Activities: A Study Using GPS Traces of Mobile Phone Users
title_fullStr Weather Effects on the Patterns of People's Everyday Activities: A Study Using GPS Traces of Mobile Phone Users
title_full_unstemmed Weather Effects on the Patterns of People's Everyday Activities: A Study Using GPS Traces of Mobile Phone Users
title_short Weather Effects on the Patterns of People's Everyday Activities: A Study Using GPS Traces of Mobile Phone Users
title_sort weather effects on the patterns of people's everyday activities: a study using gps traces of mobile phone users
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3867318/
https://www.ncbi.nlm.nih.gov/pubmed/24367481
http://dx.doi.org/10.1371/journal.pone.0081153
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