The COVID-19 Mark on Urban Mobility
The COVID-19 pandemic significantly changed mobility patterns in the Bogotá and Buenos Aires metropolitan areas, as shown by the differences between the October 2019, 2020, and 2021 indicator values derived from call detail record–based origin-destination matrices. The differences between 2019 and 2020 were more notable than between 2019 and 2021 on most mobility indicators, demonstrating a reversal of the pre-pandemic mobility habits. However, by late 2021, the return to pre-pandemic levels was still very partial in the case of public transport use (especially so in Buenos Aires), while in Bogotá the pandemic appeared to have induced a permanent—and increasing—shift to nonmotorized modes. Other mobility indicators that appear to have changed more permanently in Bogotá include the lower average distances traveled and the relatively higher importance of non-home-based mobility. In the Buenos Aires Metropolitan Area, the key persistent changes include the lower overall trip generation rates and specifically peak-hour travel, and the higher relative weight of travel to work and school compared to other travel purposes. These findings are partly explained by the underlying policy and regulatory context in the two cities and are relevant for designing transport policy in the post-pandemic context, including in terms of public transport route and schedule planning, cycleway network expansion, and, more broadly, the leveraging of big data as a complement to traditional mobility surveys.
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Format: | Working Paper biblioteca |
Language: | English English |
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World Bank, Washington, DC
2023-06-26
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Subjects: | MOBILITY, URBAN TRANSPORT, COVID-19 PANDEMIC, BIG DATA, TRANSPORT POLICY, PRE AND POST-PANDEMIC TRAVEL, COVID-19 IMPACT, |
Online Access: | http://documents.worldbank.org/curated/en/099341506152322378/IDU03cd59e8b0870c04785099900a77b56ab3732 https://openknowledge.worldbank.org/handle/10986/39926 |
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dig-okr-10986399262024-03-11T19:23:21Z The COVID-19 Mark on Urban Mobility A Tale of Two Cities’ Journey to Recovery Stokenberga, Aiga Ivarsson, Ellin Fulponi, Juan Ignacio MOBILITY URBAN TRANSPORT COVID-19 PANDEMIC BIG DATA TRANSPORT POLICY PRE AND POST-PANDEMIC TRAVEL COVID-19 IMPACT The COVID-19 pandemic significantly changed mobility patterns in the Bogotá and Buenos Aires metropolitan areas, as shown by the differences between the October 2019, 2020, and 2021 indicator values derived from call detail record–based origin-destination matrices. The differences between 2019 and 2020 were more notable than between 2019 and 2021 on most mobility indicators, demonstrating a reversal of the pre-pandemic mobility habits. However, by late 2021, the return to pre-pandemic levels was still very partial in the case of public transport use (especially so in Buenos Aires), while in Bogotá the pandemic appeared to have induced a permanent—and increasing—shift to nonmotorized modes. Other mobility indicators that appear to have changed more permanently in Bogotá include the lower average distances traveled and the relatively higher importance of non-home-based mobility. In the Buenos Aires Metropolitan Area, the key persistent changes include the lower overall trip generation rates and specifically peak-hour travel, and the higher relative weight of travel to work and school compared to other travel purposes. These findings are partly explained by the underlying policy and regulatory context in the two cities and are relevant for designing transport policy in the post-pandemic context, including in terms of public transport route and schedule planning, cycleway network expansion, and, more broadly, the leveraging of big data as a complement to traditional mobility surveys. 2023-06-26T17:01:13Z 2023-06-26T17:01:13Z 2023-06-26 Working Paper http://documents.worldbank.org/curated/en/099341506152322378/IDU03cd59e8b0870c04785099900a77b56ab3732 https://openknowledge.worldbank.org/handle/10986/39926 English en Policy Research Working Papers; 10484 CC BY 3.0 IGO CC BY 3.0 IGO https://creativecommons.org/licenses/by/3.0/igo/ https://creativecommons.org/licenses/by/3.0/igo/ World Bank application/pdf text/plain World Bank, Washington, DC |
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MOBILITY URBAN TRANSPORT COVID-19 PANDEMIC BIG DATA TRANSPORT POLICY PRE AND POST-PANDEMIC TRAVEL COVID-19 IMPACT MOBILITY URBAN TRANSPORT COVID-19 PANDEMIC BIG DATA TRANSPORT POLICY PRE AND POST-PANDEMIC TRAVEL COVID-19 IMPACT |
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MOBILITY URBAN TRANSPORT COVID-19 PANDEMIC BIG DATA TRANSPORT POLICY PRE AND POST-PANDEMIC TRAVEL COVID-19 IMPACT MOBILITY URBAN TRANSPORT COVID-19 PANDEMIC BIG DATA TRANSPORT POLICY PRE AND POST-PANDEMIC TRAVEL COVID-19 IMPACT Stokenberga, Aiga Ivarsson, Ellin Fulponi, Juan Ignacio The COVID-19 Mark on Urban Mobility |
description |
The COVID-19 pandemic significantly
changed mobility patterns in the Bogotá and Buenos Aires
metropolitan areas, as shown by the differences between the
October 2019, 2020, and 2021 indicator values derived from
call detail record–based origin-destination matrices. The
differences between 2019 and 2020 were more notable than
between 2019 and 2021 on most mobility indicators,
demonstrating a reversal of the pre-pandemic mobility
habits. However, by late 2021, the return to pre-pandemic
levels was still very partial in the case of public
transport use (especially so in Buenos Aires), while in
Bogotá the pandemic appeared to have induced a permanent—and
increasing—shift to nonmotorized modes. Other mobility
indicators that appear to have changed more permanently in
Bogotá include the lower average distances traveled and the
relatively higher importance of non-home-based mobility. In
the Buenos Aires Metropolitan Area, the key persistent
changes include the lower overall trip generation rates and
specifically peak-hour travel, and the higher relative
weight of travel to work and school compared to other travel
purposes. These findings are partly explained by the
underlying policy and regulatory context in the two cities
and are relevant for designing transport policy in the
post-pandemic context, including in terms of public
transport route and schedule planning, cycleway network
expansion, and, more broadly, the leveraging of big data as
a complement to traditional mobility surveys. |
format |
Working Paper |
topic_facet |
MOBILITY URBAN TRANSPORT COVID-19 PANDEMIC BIG DATA TRANSPORT POLICY PRE AND POST-PANDEMIC TRAVEL COVID-19 IMPACT |
author |
Stokenberga, Aiga Ivarsson, Ellin Fulponi, Juan Ignacio |
author_facet |
Stokenberga, Aiga Ivarsson, Ellin Fulponi, Juan Ignacio |
author_sort |
Stokenberga, Aiga |
title |
The COVID-19 Mark on Urban Mobility |
title_short |
The COVID-19 Mark on Urban Mobility |
title_full |
The COVID-19 Mark on Urban Mobility |
title_fullStr |
The COVID-19 Mark on Urban Mobility |
title_full_unstemmed |
The COVID-19 Mark on Urban Mobility |
title_sort |
covid-19 mark on urban mobility |
publisher |
World Bank, Washington, DC |
publishDate |
2023-06-26 |
url |
http://documents.worldbank.org/curated/en/099341506152322378/IDU03cd59e8b0870c04785099900a77b56ab3732 https://openknowledge.worldbank.org/handle/10986/39926 |
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