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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Bibliographic Details
Main Authors: Stokenberga, Aiga, Ivarsson, Ellin, Fulponi, Juan Ignacio
Format: Working Paper biblioteca
Language:English
English
Published: World Bank, Washington, DC 2023-06-26
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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spelling 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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region America del Norte
libraryname Biblioteca del Banco Mundial
language English
English
topic 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
spellingShingle 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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