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Impact of air pollution on human activities: Evidence from nine million mobile phone users

To measure the effects of air pollution on human activities, this study applies statistical/econometric modeling to hourly data of 9 million mobile phone users from six cities in China’s Zhejiang Province from December 18 to 21, 2013. Under a change in air quality from “Good” (Air Quality Index, or...

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Detalles Bibliográficos
Autores principales: Chen, Wei, He, YingHua, Pan, Shiyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8133462/
https://www.ncbi.nlm.nih.gov/pubmed/34010277
http://dx.doi.org/10.1371/journal.pone.0251288
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author Chen, Wei
He, YingHua
Pan, Shiyuan
author_facet Chen, Wei
He, YingHua
Pan, Shiyuan
author_sort Chen, Wei
collection PubMed
description To measure the effects of air pollution on human activities, this study applies statistical/econometric modeling to hourly data of 9 million mobile phone users from six cities in China’s Zhejiang Province from December 18 to 21, 2013. Under a change in air quality from “Good” (Air Quality Index, or AQI, between 51 and 100) to “Heavily Polluted” (AQI between 201 to 300), the following effects are demonstrated. (i) Consistent with the literature, for every one million people, 1, 482 fewer individuals are observed at parks, 95% confidence interval or CI (−2, 229, −735), which represents a 15% decrease. (ii) The number of individuals at shopping malls has no statistically significant change. (iii) Home is the most important location under worsening air quality, and for every one million people, 63, 088 more individuals are observed at home, 95% CI (47, 815, 78, 361), which represents a 19% increase. (iv) Individuals are on average 633 meters closer to their home, 95% CI (529, 737); as a benchmark, the median distance from home ranges from 300 to 1900 meters across the cities in our sample. These effects are not due to weather or government regulations. We also provided provisional evidence that individuals engage in inter-temporal activity substitutions within a day, which leads to mitigated (but not nullified) effects of air pollution on daily activities.
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spelling pubmed-81334622021-05-27 Impact of air pollution on human activities: Evidence from nine million mobile phone users Chen, Wei He, YingHua Pan, Shiyuan PLoS One Research Article To measure the effects of air pollution on human activities, this study applies statistical/econometric modeling to hourly data of 9 million mobile phone users from six cities in China’s Zhejiang Province from December 18 to 21, 2013. Under a change in air quality from “Good” (Air Quality Index, or AQI, between 51 and 100) to “Heavily Polluted” (AQI between 201 to 300), the following effects are demonstrated. (i) Consistent with the literature, for every one million people, 1, 482 fewer individuals are observed at parks, 95% confidence interval or CI (−2, 229, −735), which represents a 15% decrease. (ii) The number of individuals at shopping malls has no statistically significant change. (iii) Home is the most important location under worsening air quality, and for every one million people, 63, 088 more individuals are observed at home, 95% CI (47, 815, 78, 361), which represents a 19% increase. (iv) Individuals are on average 633 meters closer to their home, 95% CI (529, 737); as a benchmark, the median distance from home ranges from 300 to 1900 meters across the cities in our sample. These effects are not due to weather or government regulations. We also provided provisional evidence that individuals engage in inter-temporal activity substitutions within a day, which leads to mitigated (but not nullified) effects of air pollution on daily activities. Public Library of Science 2021-05-19 /pmc/articles/PMC8133462/ /pubmed/34010277 http://dx.doi.org/10.1371/journal.pone.0251288 Text en © 2021 Chen et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Chen, Wei
He, YingHua
Pan, Shiyuan
Impact of air pollution on human activities: Evidence from nine million mobile phone users
title Impact of air pollution on human activities: Evidence from nine million mobile phone users
title_full Impact of air pollution on human activities: Evidence from nine million mobile phone users
title_fullStr Impact of air pollution on human activities: Evidence from nine million mobile phone users
title_full_unstemmed Impact of air pollution on human activities: Evidence from nine million mobile phone users
title_short Impact of air pollution on human activities: Evidence from nine million mobile phone users
title_sort impact of air pollution on human activities: evidence from nine million mobile phone users
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8133462/
https://www.ncbi.nlm.nih.gov/pubmed/34010277
http://dx.doi.org/10.1371/journal.pone.0251288
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