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COVID-19 policy analysis: labour structure dictates lockdown mobility behaviour
Countries and cities around the world have resorted to unprecedented mobility restrictions to combat COVID-19 transmission. Here we exploit a natural experiment whereby Colombian cities implemented varied lockdown policies based on ID number and gender to analyse the impact of these policies on urba...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8098708/ https://www.ncbi.nlm.nih.gov/pubmed/33784887 http://dx.doi.org/10.1098/rsif.2020.1035 |
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author | Heroy, Samuel Loaiza, Isabella Pentland, Alex O’Clery, Neave |
author_facet | Heroy, Samuel Loaiza, Isabella Pentland, Alex O’Clery, Neave |
author_sort | Heroy, Samuel |
collection | PubMed |
description | Countries and cities around the world have resorted to unprecedented mobility restrictions to combat COVID-19 transmission. Here we exploit a natural experiment whereby Colombian cities implemented varied lockdown policies based on ID number and gender to analyse the impact of these policies on urban mobility. Using mobile phone data, we find that the restrictiveness of cities’ mobility quotas (the share of residents allowed out daily according to policy advice) does not correlate with mobility reduction. Instead, we find that larger, wealthier cities with more formalized and complex industrial structure experienced greater reductions in mobility. Within cities, wealthier residents are more likely to reduce mobility, and commuters are especially more likely to stay at home when their work is located in wealthy or commercially/industrially formalized neighbourhoods. Hence, our results indicate that cities’ employment characteristics and work-from-home capabilities are the primary determinants of mobility reduction. This finding underscores the need for mitigations aimed at lower income/informal workers, and sheds light on critical dependencies between socio-economic classes in Latin American cities. |
format | Online Article Text |
id | pubmed-8098708 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-80987082021-05-21 COVID-19 policy analysis: labour structure dictates lockdown mobility behaviour Heroy, Samuel Loaiza, Isabella Pentland, Alex O’Clery, Neave J R Soc Interface Life Sciences–Mathematics interface Countries and cities around the world have resorted to unprecedented mobility restrictions to combat COVID-19 transmission. Here we exploit a natural experiment whereby Colombian cities implemented varied lockdown policies based on ID number and gender to analyse the impact of these policies on urban mobility. Using mobile phone data, we find that the restrictiveness of cities’ mobility quotas (the share of residents allowed out daily according to policy advice) does not correlate with mobility reduction. Instead, we find that larger, wealthier cities with more formalized and complex industrial structure experienced greater reductions in mobility. Within cities, wealthier residents are more likely to reduce mobility, and commuters are especially more likely to stay at home when their work is located in wealthy or commercially/industrially formalized neighbourhoods. Hence, our results indicate that cities’ employment characteristics and work-from-home capabilities are the primary determinants of mobility reduction. This finding underscores the need for mitigations aimed at lower income/informal workers, and sheds light on critical dependencies between socio-economic classes in Latin American cities. The Royal Society 2021-03-31 /pmc/articles/PMC8098708/ /pubmed/33784887 http://dx.doi.org/10.1098/rsif.2020.1035 Text en © 2021 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited. |
spellingShingle | Life Sciences–Mathematics interface Heroy, Samuel Loaiza, Isabella Pentland, Alex O’Clery, Neave COVID-19 policy analysis: labour structure dictates lockdown mobility behaviour |
title | COVID-19 policy analysis: labour structure dictates lockdown mobility behaviour |
title_full | COVID-19 policy analysis: labour structure dictates lockdown mobility behaviour |
title_fullStr | COVID-19 policy analysis: labour structure dictates lockdown mobility behaviour |
title_full_unstemmed | COVID-19 policy analysis: labour structure dictates lockdown mobility behaviour |
title_short | COVID-19 policy analysis: labour structure dictates lockdown mobility behaviour |
title_sort | covid-19 policy analysis: labour structure dictates lockdown mobility behaviour |
topic | Life Sciences–Mathematics interface |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8098708/ https://www.ncbi.nlm.nih.gov/pubmed/33784887 http://dx.doi.org/10.1098/rsif.2020.1035 |
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