Building back better: The COVID-19 pandemic and transport policy implications for a developing megacity
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10316/96348 https://doi.org/10.1016/j.scs.2021.102864 |
Resumo: | The COVID-19 pandemic has affected human mobility via lockdowns, social distancing rules, home quarantines, and the full or partial suspension of transportation. Evidence-based policy recommendations are urgently needed to ensure that transport systems have resilience to future pandemic outbreaks, particularly within Global South megacities where demand for public transport is high and reduced access can exacerbate socio-economic inequalities. This study focuses on Metro Manila – a characteristic megacity that experienced one of the most stringent lockdowns worldwide. It analyzes aggregated cell phone and GPS data from Google and Apple that provide a comprehensive representation of mobility behavior before and during the lockdown. While significant decreases are observed for all transport modes, public transport experienced the largest drop (− 74.5 %, on average). The study demonstrates that: (i) those most reliant on public transport were disproportionately affected by lockdowns; (ii) public transport was unable to fulfil its role as public service; and, (iii) this drove a paradigm shift towards active mobility. Moving forwards, in the short-term policymakers must promote active mobility and prioritize public transport to reduce unequal access to transport. Longer-term, policymakers must leverage the increased active transport to encourage modal shift via infrastructure investment, and better utilize big data to support decision-making. |
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Building back better: The COVID-19 pandemic and transport policy implications for a developing megacityCOVID-19 responseMobility behaviorResilient transport systemsSocial equityBig data analysisLongitudinal case studyThe COVID-19 pandemic has affected human mobility via lockdowns, social distancing rules, home quarantines, and the full or partial suspension of transportation. Evidence-based policy recommendations are urgently needed to ensure that transport systems have resilience to future pandemic outbreaks, particularly within Global South megacities where demand for public transport is high and reduced access can exacerbate socio-economic inequalities. This study focuses on Metro Manila – a characteristic megacity that experienced one of the most stringent lockdowns worldwide. It analyzes aggregated cell phone and GPS data from Google and Apple that provide a comprehensive representation of mobility behavior before and during the lockdown. While significant decreases are observed for all transport modes, public transport experienced the largest drop (− 74.5 %, on average). The study demonstrates that: (i) those most reliant on public transport were disproportionately affected by lockdowns; (ii) public transport was unable to fulfil its role as public service; and, (iii) this drove a paradigm shift towards active mobility. Moving forwards, in the short-term policymakers must promote active mobility and prioritize public transport to reduce unequal access to transport. Longer-term, policymakers must leverage the increased active transport to encourage modal shift via infrastructure investment, and better utilize big data to support decision-making.Elsevier2021info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/96348http://hdl.handle.net/10316/96348https://doi.org/10.1016/j.scs.2021.102864eng22106707Hasselwander, MarcTamagusko, TiagoBigotte, João F.Ferreira, AdelinoMejia, AlvinFerranti, Emma J.S.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2022-05-25T03:34:45Zoai:estudogeral.uc.pt:10316/96348Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:14:37.483794Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Building back better: The COVID-19 pandemic and transport policy implications for a developing megacity |
title |
Building back better: The COVID-19 pandemic and transport policy implications for a developing megacity |
spellingShingle |
Building back better: The COVID-19 pandemic and transport policy implications for a developing megacity Hasselwander, Marc COVID-19 response Mobility behavior Resilient transport systems Social equity Big data analysis Longitudinal case study |
title_short |
Building back better: The COVID-19 pandemic and transport policy implications for a developing megacity |
title_full |
Building back better: The COVID-19 pandemic and transport policy implications for a developing megacity |
title_fullStr |
Building back better: The COVID-19 pandemic and transport policy implications for a developing megacity |
title_full_unstemmed |
Building back better: The COVID-19 pandemic and transport policy implications for a developing megacity |
title_sort |
Building back better: The COVID-19 pandemic and transport policy implications for a developing megacity |
author |
Hasselwander, Marc |
author_facet |
Hasselwander, Marc Tamagusko, Tiago Bigotte, João F. Ferreira, Adelino Mejia, Alvin Ferranti, Emma J.S. |
author_role |
author |
author2 |
Tamagusko, Tiago Bigotte, João F. Ferreira, Adelino Mejia, Alvin Ferranti, Emma J.S. |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Hasselwander, Marc Tamagusko, Tiago Bigotte, João F. Ferreira, Adelino Mejia, Alvin Ferranti, Emma J.S. |
dc.subject.por.fl_str_mv |
COVID-19 response Mobility behavior Resilient transport systems Social equity Big data analysis Longitudinal case study |
topic |
COVID-19 response Mobility behavior Resilient transport systems Social equity Big data analysis Longitudinal case study |
description |
The COVID-19 pandemic has affected human mobility via lockdowns, social distancing rules, home quarantines, and the full or partial suspension of transportation. Evidence-based policy recommendations are urgently needed to ensure that transport systems have resilience to future pandemic outbreaks, particularly within Global South megacities where demand for public transport is high and reduced access can exacerbate socio-economic inequalities. This study focuses on Metro Manila – a characteristic megacity that experienced one of the most stringent lockdowns worldwide. It analyzes aggregated cell phone and GPS data from Google and Apple that provide a comprehensive representation of mobility behavior before and during the lockdown. While significant decreases are observed for all transport modes, public transport experienced the largest drop (− 74.5 %, on average). The study demonstrates that: (i) those most reliant on public transport were disproportionately affected by lockdowns; (ii) public transport was unable to fulfil its role as public service; and, (iii) this drove a paradigm shift towards active mobility. Moving forwards, in the short-term policymakers must promote active mobility and prioritize public transport to reduce unequal access to transport. Longer-term, policymakers must leverage the increased active transport to encourage modal shift via infrastructure investment, and better utilize big data to support decision-making. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10316/96348 http://hdl.handle.net/10316/96348 https://doi.org/10.1016/j.scs.2021.102864 |
url |
http://hdl.handle.net/10316/96348 https://doi.org/10.1016/j.scs.2021.102864 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
22106707 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799134044383870977 |