Evidence map›Paper›PMID 33883580›Full record

ArticleScientific reports2021

Uncovering the socioeconomic facets of human mobility.

Hugo Barbosa, Surendra Hazarie, Brian Dickinson, Aleix Bassolas, Adam Frank, Henry Kautz, Adam Sadilek, José J Ramasco, Gourab Ghoshal

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
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  5. Mixing individual and collective behaviors to predict out-of-routine mobility.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Article
  7. Article
  8. Article
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  10. Characterizing network circuity among heterogeneous urban amenities.Journal of the Royal Society, Interface · 2023
    Article
  11. Article
  12. Article
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  15. Article
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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

9 authors.

Hugo BarbosaDepartment of Computer Science, University of Exeter, Exeter, UK.
Surendra HazarieDepartment of Physics and Astronomy, University of Rochester, Rochester, NY, 14627, USA.
Brian DickinsonDepartment of Computer Science, University of Rochester, Rochester, NY, 14627, USA.
Aleix BassolasSchool of Mathematical Sciences, Queen Mary University of London, Mile End Road, London, E1 4NS, UK.
Adam FrankDepartment of Physics and Astronomy, University of Rochester, Rochester, NY, 14627, USA.
Henry KautzDepartment of Computer Science, University of Rochester, Rochester, NY, 14627, USA.
Adam SadilekGoogle Inc., 1600 Amphitheatre Parkway, Mountain View, CA, 94043, USA.
José J RamascoInstitute for Cross-Disciplinary Physics and Complex Systems, Campus UIB, 07122, Palma de Mallorca, Spain.
Gourab GhoshalDepartment of Physics and Astronomy, University of Rochester, Rochester, NY, 14627, USA. gghoshal@pas.rochester.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Given the rapid recent trend of urbanization, a better understanding of how urban infrastructure mediates socioeconomic interactions and economic systems is of vital importance. While the accessibility of location-enabled devices as well as large-scale datasets of human activities, has fueled significant advances in our understanding, there is little agreement on the linkage between socioeconomic status and its influence on movement patterns, in particular, the role of inequality. Here, we analyze a heavily aggregated and anonymized summary of global mobility and investigate the relationships between socioeconomic status and mobility across a hundred cities in the US and Brazil. We uncover two types of relationships, finding either a clear connection or little-to-no interdependencies. The former tend to be characterized by low levels of public transportation usage, inequitable access to basic amenities and services, and segregated clusters of communities in terms of income, with the latter class showing the opposite trends. Our findings provide useful lessons in designing urban habitats that serve the larger interests of all inhabitants irrespective of their economic status.

Identifiers

PMID33883580
PMCPMC8060260

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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.