Evidence map›Paper›PMID 36568855›Full record

ArticleSustainable cities and society2021

Building back better: The COVID-19 pandemic and transport policy implications for a developing megacity.

Marc Hasselwander, Tiago Tamagusko, Joao F Bigotte, Adelino Ferreira, Alvin Mejia, Emma J S Ferranti

Abstract read
In one paragraph

Article in Sustainable cities and society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
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  4. The Now Normal.Acta medica Philippina · 2024
    Article
  5. Human mobility and the infectious disease transmission: A systematic review.Geo-spatial information science = Diqui kongjian xinxi kexue xuebao · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
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  12. Article
  13. Review
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  15. Article
  16. Article
  17. Impact of COVID-19 on mode choice behavior: A case study for Dhaka, Bangladesh.Transportation research interdisciplinary perspectives · 2022
    Article
  18. Article
  19. Article
  20. Article
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

6 authors.

Marc HasselwanderCITTA - Research Centre for Territory, Transports and Environment, University of Coimbra, Department of Civil Engineering, Coimbra, Portugal.
Tiago TamaguskoCITTA - Research Centre for Territory, Transports and Environment, University of Coimbra, Department of Civil Engineering, Coimbra, Portugal.
Joao F BigotteCITTA - Research Centre for Territory, Transports and Environment, University of Coimbra, Department of Civil Engineering, Coimbra, Portugal.
Adelino FerreiraCITTA - Research Centre for Territory, Transports and Environment, University of Coimbra, Department of Civil Engineering, Coimbra, Portugal.
Alvin MejiaWuppertal Institute, Research Unit Mobility and International Cooperation, Berlin, Germany.
Emma J S FerrantiSchool of Geography, Earth & Environmental Sciences, University of Birmingham, Birmingham, B15 2TT, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has affected human mobility via lockdowns, social distancing rules, home quarantines, and the full or partial suspension of transportation. Evidence-based policy recommendations are urgently needed to ensure that transport systems have resilience to future pandemic outbreaks, particularly within Global South megacities where demand for public transport is high and reduced access can exacerbate socio-economic inequalities. This study focuses on Metro Manila - a characteristic megacity that experienced one of the most stringent lockdowns worldwide. It analyzes aggregated cell phone and GPS data from Google and Apple that provide a comprehensive representation of mobility behavior before and during the lockdown. While significant decreases are observed for all transport modes, public transport experienced the largest drop (-74.5 %, on average). The study demonstrates that: (i) those most reliant on public transport were disproportionately affected by lockdowns; (ii) public transport was unable to fulfil its role as public service; and, (iii) this drove a paradigm shift towards active mobility. Moving forwards, in the short-term policymakers must promote active mobility and prioritize public transport to reduce unequal access to transport. Longer-term, policymakers must leverage the increased active transport to encourage modal shift via infrastructure investment, and better utilize big data to support decision-making.

Indexed as

Big data analysisCOVID-19 responseLongitudinal case studyMobility behaviorResilient transport systemsSocial equity

Identifiers

PMID36568855
PMCPMC9760281

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.