Evidence map›Paper›PMID 37363372›Full record

ArticleTransportation2023

Blind classification of e-scooter trips according to their relationship with public transport.

Juan José Vinagre Díaz, Rubén Fernández Pozo, Ana Belén Rodríguez González, Mark Richard Wilby, Bani Anvari

Full text read
In one paragraph

Article in Transportation, 2023. 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

5 authors.

Juan José Vinagre DíazDepartment of Mathematics Applied to Information and Communication Technologies, Universidad Politécnica de Madrid, Avda. Complutense, 30, 28040 Madrid, Spain.ORCID 0000-0003-1283-0311
Rubén Fernández PozoDepartment of Mathematics Applied to Information and Communication Technologies, Universidad Politécnica de Madrid, Avda. Complutense, 30, 28040 Madrid, Spain.
Ana Belén Rodríguez GonzálezDepartment of Mathematics Applied to Information and Communication Technologies, Universidad Politécnica de Madrid, Avda. Complutense, 30, 28040 Madrid, Spain.
Mark Richard WilbyDepartment of Mathematics Applied to Information and Communication Technologies, Universidad Politécnica de Madrid, Avda. Complutense, 30, 28040 Madrid, Spain.
Bani AnvariCentre for Transport Studies, Department of Civil, Environmental and Geomatic Engineering, University College London, WC1E 6BT London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

E-scooter services have multiplied worldwide as a form of urban transport. Their use has grown so quickly that policymakers and researchers still need to understand their interrelation with other transport modes. At present, e-scooter services are primarily seen as a first-and-last-mile solution for public transport. However, we demonstrate that

Indexed as

Autonomous clusteringElectric scooterMicromobilityPublic transitRome

Identifiers

PMID37363372
PMCPMC10018618

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read24
table measurements read1
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.