Evidence map›Paper›PMID 35855479›Full record

ArticleTransport policy2022

The effect of dynamic lockdowns on public transport demand in times of COVID-19: Evidence from smartcard data.

Benjamin Gramsch, C Angelo Guevara, Marcela Munizaga, Daniel Schwartz, Alejandro Tirachini

Abstract read
In one paragraph

Article in Transport policy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. A network-based analysis to assess COVID-19 disruptions in the Bogotá BRT system.Environment and planning. B, urban analytics and city science · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Benjamin GramschInstituto Sistemas Complejos de Ingeniería, Av. República 701, Santiago, Chile.
C Angelo GuevaraCivil Engineering Department, Universidad de Chile, Blanco Encalada 2002, Santiago, Chile.
Marcela MunizagaCivil Engineering Department, Universidad de Chile, Blanco Encalada 2002, Santiago, Chile.
Daniel SchwartzIndustrial Engineering Department, Universidad de Chile, Av. República 701, Santiago, Chile.
Alejandro TirachiniCivil Engineering Department, Universidad de Chile, Blanco Encalada 2002, Santiago, Chile.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Governments around the globe have taken different measures to tackle the COVID-19 pandemic, including the lockdown of people to decrease infections. The effect of such a strategy on transport demand is important not only for the current pandemic but also to understand changes in transport use and for future emergencies. We analyse a 2019-2020 database of smartcard data of trips from the city of Santiago, Chile, which followed a dynamic lockdown strategy in which its municipalities were temporarily restricted. We use this variation over time across municipalities to study the effect of lockdowns on public transportation using trips on buses and metro, accounting for the variation of municipalities that were under lockdown in a given day. We found a decrease of 72.3% at the beginning of the pandemic when schools suspended in-person classes, while the dynamic lockdowns reduced public transport demand by 12.1%. We also found that the effect of lockdowns decreased after the fifth week of their application, suggesting a short-term effectiveness of such policy to reduce mobility. Regarding sociodemographic effects, we found that lockdowns have a stronger impact on reducing public transport demand in municipalities with a larger proportion of the elderly population (2% additional reduction per 1% increase in the share of the elderly population) and high-income households (16% additional reduction for 1000 USD increase in GDP per capita).

Indexed as

BusCOVID-19LockdownMetroNon-pharmaceutical interventionsPublic transport

Identifiers

PMID35855479
PMCPMC9283383

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.