Evidence map›Paper›PMID 39252848›Full record

ArticleRoyal Society open science2024

Dynamic predictability and activity-location contexts in human mobility.

Bibandhan Poudyal, Diogo Pacheco, Marcos Oliveira, Zexun Chen, Hugo S Barbosa, Ronaldo Menezes, Gourab Ghoshal

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Royal Society open science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Bibandhan PoudyalDepartment of Physics & Astronomy, University of Rochester, Rochester, NY, USA.ORCID https://orcid.org/0000-0001-6437-7251
Diogo PachecoDepartment of Computer Science, University of Exeter, Exeter, UK.
Marcos OliveiraDepartment of Computer Science, University of Exeter, Exeter, UK.
Zexun ChenThe University of Edinburgh Business School, Edinburgh, UK.
Hugo S BarbosaDepartment of Computer Science, University of Exeter, Exeter, UK.
Ronaldo MenezesDepartment of Computer Science, University of Exeter, Exeter, UK.
Gourab GhoshalDepartment of Physics & Astronomy, University of Rochester, Rochester, NY, USA.ORCID https://orcid.org/0000-0001-7593-5626

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human travelling behaviours are markedly regular, to a large extent predictable, and mostly driven by biological necessities and social constructs. Not surprisingly, such predictability is influenced by an array of factors ranging in scale from individual preferences and choices, through social groups and households, all the way to the global scale, such as mobility restrictions in response to external shocks such as pandemics. In this work, we explore how temporal, activity and location variations in individual-level mobility-referred to as

Indexed as

complex systemshuman mobilityinformation theory

Identifiers

PMID39252848
PMCPMC11382963

What OpenQuestion holds

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LicenceCC BY
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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.