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005    20231012125720.0
006    m     o  d
007    cr |||||||||||
008    231012s2023    dcu     o     000 0 eng d
024 7  10.1596/1813-9450-10484
035    (CKB)5850000000363015
035    (NjHacI)995850000000363015
035    (EXLCZ)995850000000363015
040    NjHacI |beng |erda |cNjHacl
050  4 HE305 |b.S765 2023
082 04 388.4 |223
100 1  Stokenberga, Aiga, |eauthor.
245 10 COVID-19 Mark on Urban Mobility : |bA Tale of two Cities' Journey to Recovery / |cAiga Stokenberga, Juan Ignacio Fulponi, Ellin Ivarsson.
246    COVID-19 Mark on Urban Mobility
264  1 Washington, D.C. : |bThe World Bank, |c2023.
300    1 online resource (22 pages).
336    text |btxt |2rdacontent
337    computer |bc |2rdamedia
338    online resource |bcr |2rdacarrier
490 1  Policy research working papers
588    Description based on publisher supplied metadata and other sources.
520    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.
650  0 Urban transportation.
700 1  Fulponi, Juan Ignacio, |eauthor.
700 1  Ivarsson, Ellin, |eauthor.
830  0 Policy research working papers.
906    BOOK