Changes in mobility and socioeconomic conditions during the COVID-19 outbreak

Autores
Dueñas, Marco; Campi, Mercedes Maria; Olmos, Luis E.
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Since the outbreak of the 2019 novel coronavirus (COVID-19) pandemic, governments have been implementing containment measures aimed at mitigating the spread of the virus, including restrictions to human mobility. The ability to adapt to the pandemic and respond to containment measures can be bound by socioeconomic conditions, which are heterogeneous in large urban areas of low-income and middle-income countries. In this paper, we analyse mobility changes following the implementation of containment measures in Bogotá, Colombia. We characterise the mobility network before and during the pandemic and analyse its evolution and changes between January and July 2020. We observe a general reduction in mobility trends, but the overall connectivity between different areas of the city remains after the lockdown, reflecting the resilience of the mobility network. Then, we estimate a gravity model to assess the effect of socioeconomic conditions on mobility flows. We find that the responses to lockdown policies depend on the socioeconomic conditions of the population. Before the pandemic, the population with better socioeconomic conditions shows higher mobility flows. Since the lockdown, mobility presents a general decrease, but the population with worse socioeconomic conditions shows lower reductions in mobility flows. We conclude by deriving policy implications.
Fil: Dueñas, Marco. Universidad de Bogota Jorge Tadeo Lozano; Colombia
Fil: Campi, Mercedes Maria. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Instituto Interdisciplinario de Economía Política de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Económicas. Instituto Interdisciplinario de Economía Política de Buenos Aires; Argentina
Fil: Olmos, Luis E.. University of California; Estados Unidos. Universidad de Medellin; Colombia
Materia
MOBILITY NETWORKS
POVERTY
INFORMALITY
SOCIOECONOMIC STRATA
COVID-19
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/133206
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Changes in mobility and socioeconomic conditions during the COVID-19 outbreakDueñas, MarcoCampi, Mercedes MariaOlmos, Luis E.MOBILITY NETWORKSPOVERTYINFORMALITYSOCIOECONOMIC STRATACOVID-19https://purl.org/becyt/ford/5.2https://purl.org/becyt/ford/5Since the outbreak of the 2019 novel coronavirus (COVID-19) pandemic, governments have been implementing containment measures aimed at mitigating the spread of the virus, including restrictions to human mobility. The ability to adapt to the pandemic and respond to containment measures can be bound by socioeconomic conditions, which are heterogeneous in large urban areas of low-income and middle-income countries. In this paper, we analyse mobility changes following the implementation of containment measures in Bogotá, Colombia. We characterise the mobility network before and during the pandemic and analyse its evolution and changes between January and July 2020. We observe a general reduction in mobility trends, but the overall connectivity between different areas of the city remains after the lockdown, reflecting the resilience of the mobility network. Then, we estimate a gravity model to assess the effect of socioeconomic conditions on mobility flows. We find that the responses to lockdown policies depend on the socioeconomic conditions of the population. Before the pandemic, the population with better socioeconomic conditions shows higher mobility flows. Since the lockdown, mobility presents a general decrease, but the population with worse socioeconomic conditions shows lower reductions in mobility flows. We conclude by deriving policy implications.Fil: Dueñas, Marco. Universidad de Bogota Jorge Tadeo Lozano; ColombiaFil: Campi, Mercedes Maria. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Instituto Interdisciplinario de Economía Política de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Económicas. Instituto Interdisciplinario de Economía Política de Buenos Aires; ArgentinaFil: Olmos, Luis E.. University of California; Estados Unidos. Universidad de Medellin; ColombiaSpringer2021-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/133206Dueñas, Marco; Campi, Mercedes Maria; Olmos, Luis E.; Changes in mobility and socioeconomic conditions during the COVID-19 outbreak; Springer; Humanities and Social Sciences Communications; 8; 1; 4-2021; 1-102662-9992CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.nature.com/articles/s41599-021-00775-0info:eu-repo/semantics/altIdentifier/doi/10.1057/s41599-021-00775-0info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:17:13Zoai:ri.conicet.gov.ar:11336/133206instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:17:13.965CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Changes in mobility and socioeconomic conditions during the COVID-19 outbreak
title Changes in mobility and socioeconomic conditions during the COVID-19 outbreak
spellingShingle Changes in mobility and socioeconomic conditions during the COVID-19 outbreak
Dueñas, Marco
MOBILITY NETWORKS
POVERTY
INFORMALITY
SOCIOECONOMIC STRATA
COVID-19
title_short Changes in mobility and socioeconomic conditions during the COVID-19 outbreak
title_full Changes in mobility and socioeconomic conditions during the COVID-19 outbreak
title_fullStr Changes in mobility and socioeconomic conditions during the COVID-19 outbreak
title_full_unstemmed Changes in mobility and socioeconomic conditions during the COVID-19 outbreak
title_sort Changes in mobility and socioeconomic conditions during the COVID-19 outbreak
dc.creator.none.fl_str_mv Dueñas, Marco
Campi, Mercedes Maria
Olmos, Luis E.
author Dueñas, Marco
author_facet Dueñas, Marco
Campi, Mercedes Maria
Olmos, Luis E.
author_role author
author2 Campi, Mercedes Maria
Olmos, Luis E.
author2_role author
author
dc.subject.none.fl_str_mv MOBILITY NETWORKS
POVERTY
INFORMALITY
SOCIOECONOMIC STRATA
COVID-19
topic MOBILITY NETWORKS
POVERTY
INFORMALITY
SOCIOECONOMIC STRATA
COVID-19
purl_subject.fl_str_mv https://purl.org/becyt/ford/5.2
https://purl.org/becyt/ford/5
dc.description.none.fl_txt_mv Since the outbreak of the 2019 novel coronavirus (COVID-19) pandemic, governments have been implementing containment measures aimed at mitigating the spread of the virus, including restrictions to human mobility. The ability to adapt to the pandemic and respond to containment measures can be bound by socioeconomic conditions, which are heterogeneous in large urban areas of low-income and middle-income countries. In this paper, we analyse mobility changes following the implementation of containment measures in Bogotá, Colombia. We characterise the mobility network before and during the pandemic and analyse its evolution and changes between January and July 2020. We observe a general reduction in mobility trends, but the overall connectivity between different areas of the city remains after the lockdown, reflecting the resilience of the mobility network. Then, we estimate a gravity model to assess the effect of socioeconomic conditions on mobility flows. We find that the responses to lockdown policies depend on the socioeconomic conditions of the population. Before the pandemic, the population with better socioeconomic conditions shows higher mobility flows. Since the lockdown, mobility presents a general decrease, but the population with worse socioeconomic conditions shows lower reductions in mobility flows. We conclude by deriving policy implications.
Fil: Dueñas, Marco. Universidad de Bogota Jorge Tadeo Lozano; Colombia
Fil: Campi, Mercedes Maria. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Instituto Interdisciplinario de Economía Política de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Económicas. Instituto Interdisciplinario de Economía Política de Buenos Aires; Argentina
Fil: Olmos, Luis E.. University of California; Estados Unidos. Universidad de Medellin; Colombia
description Since the outbreak of the 2019 novel coronavirus (COVID-19) pandemic, governments have been implementing containment measures aimed at mitigating the spread of the virus, including restrictions to human mobility. The ability to adapt to the pandemic and respond to containment measures can be bound by socioeconomic conditions, which are heterogeneous in large urban areas of low-income and middle-income countries. In this paper, we analyse mobility changes following the implementation of containment measures in Bogotá, Colombia. We characterise the mobility network before and during the pandemic and analyse its evolution and changes between January and July 2020. We observe a general reduction in mobility trends, but the overall connectivity between different areas of the city remains after the lockdown, reflecting the resilience of the mobility network. Then, we estimate a gravity model to assess the effect of socioeconomic conditions on mobility flows. We find that the responses to lockdown policies depend on the socioeconomic conditions of the population. Before the pandemic, the population with better socioeconomic conditions shows higher mobility flows. Since the lockdown, mobility presents a general decrease, but the population with worse socioeconomic conditions shows lower reductions in mobility flows. We conclude by deriving policy implications.
publishDate 2021
dc.date.none.fl_str_mv 2021-04
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/133206
Dueñas, Marco; Campi, Mercedes Maria; Olmos, Luis E.; Changes in mobility and socioeconomic conditions during the COVID-19 outbreak; Springer; Humanities and Social Sciences Communications; 8; 1; 4-2021; 1-10
2662-9992
CONICET Digital
CONICET
url http://hdl.handle.net/11336/133206
identifier_str_mv Dueñas, Marco; Campi, Mercedes Maria; Olmos, Luis E.; Changes in mobility and socioeconomic conditions during the COVID-19 outbreak; Springer; Humanities and Social Sciences Communications; 8; 1; 4-2021; 1-10
2662-9992
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.nature.com/articles/s41599-021-00775-0
info:eu-repo/semantics/altIdentifier/doi/10.1057/s41599-021-00775-0
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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