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dc.contributor.author
Gramsch Calvo, Benjamin
dc.contributor.author
Guevara, Angelo
dc.contributor.author
Munizaga, Marcela
dc.contributor.author
Schwartz, Daniel
dc.contributor.author
Tirachini, Alejandro
dc.date.accessioned
2022-10-31T12:23:36Z
dc.date.available
2022-04-19T07:40:37Z
dc.date.available
2022-04-19T12:19:51Z
dc.date.available
2022-08-02T08:48:22Z
dc.date.available
2022-08-02T08:50:29Z
dc.date.available
2022-10-31T12:23:36Z
dc.date.issued
2021-01-19
dc.identifier.other
10.2139/ssrn.3768561
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/542632
dc.description.abstract
Governments around the globe have taken different measures to tackle the COVID-19 pandemic. The city of Santiago, Chile, followed a dynamic lockdown strategy in which its municipalities were temporarily restricted depending on the degree of advance of the pandemic. We use this variation over time to study the effect of lockdowns on public transport demand, by analysing a 2019-2020 database of smartcard data of trips. These data allow us to identify public transport trips at a bus stop level,accounting for the variation of municipalities that were under lockdown in a given day. Metro and buses are analysed as individual modes and combined, allowing to estimate mode-specific factors. Using an empirical strategy that controls for timely variations, we find that dynamic lockdowns reduced public transport demand for all the public transport modes, but the average effect was larger for buses, which may be explained in part by fare evasion for this mode of transport and/or socioeconomic differences on mode usage. We also find that this effect varies over time. After the fifth week of the application of the lockdowns, its effect starts slowly vanishing, which suggests short-term effectiveness of such policy to reduce transport mobility in this case. Regarding sociodemographic effects, we find that lockdowns have a stronger impact in reducing public transport demand in municipalities with a larger proportion of elderly populationand high-income households.
en_US
dc.language.iso
en
en_US
dc.publisher
Social Science Research Network
en_US
dc.subject
COVID-19
en_US
dc.subject
Lockdown
en_US
dc.subject
Non-pharmaceutical interventions
en_US
dc.subject
Public transport
en_US
dc.subject
Smartcard
en_US
dc.title
The effect of dynamic lockdowns on public transport demand in times of COVID-19
en_US
dc.type
Working Paper
ethz.title.subtitle
Evidence from smartcard data
en_US
ethz.journal.title
SSRN
ethz.pages.start
3768561
en_US
ethz.size
18 p.
en_US
ethz.publication.place
Rochester, NY
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02610 - Inst. f. Verkehrspl. u. Transportsyst. / Inst. Transport Planning and Systems::03521 - Axhausen, Kay W. / Axhausen, Kay W.
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02100 - Dep. Architektur / Dep. of Architecture::02655 - Netzwerk Stadt und Landschaft D-ARCH
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02610 - Inst. f. Verkehrspl. u. Transportsyst. / Inst. Transport Planning and Systems::03521 - Axhausen, Kay W. / Axhausen, Kay W.
en_US
ethz.relation.isPreviousVersionOf
handle/20.500.11850/563587
ethz.date.deposited
2022-04-19T07:40:43Z
ethz.source
FORM
ethz.eth
no
en_US
ethz.identifier.internal
1786
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2022-08-02T08:48:29Z
ethz.rosetta.lastUpdated
2022-08-02T08:48:29Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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