Evidence map›Paper›PMID 36687159›Full record

ArticleData in brief2023

Survey on urban transport in the aftermath of the COVID-19 outbreak: Data from 20 cities across Europe.

Elena Navajas-Cawood, Davide Fiorello, Mari Angeles Martinez, Juan Vicente Castellanos Quintana, Gabriella Scarcella, Panayotis Christidis

Abstract read
In one paragraph

Article in Data in brief, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Elena Navajas-CawoodEuropean Commission, Joint Research Centre, Seville, Spain.
Davide FiorelloTRT Transporti e Territorio, Milan, Italy.
Mari Angeles MartinezIPSOS, Barcelona, Spain.
Juan Vicente Castellanos QuintanaIPSOS, Madrid, Spain.
Gabriella ScarcellaIPSOS, Milan, Italy.
Panayotis ChristidisEuropean Commission, Joint Research Centre, Seville, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This dataset contains the full results of a survey on mobility patterns after the Covid-19 pandemic. The survey was conducted in the second trimester of 2021 and collected information from 10000 respondents across 20 urban areas. The questions covered demographic and socio-economic characteristics, employment and job related situation, the use of technological alternatives in daily activities, mobility patterns (trip frequency, purpose, destination, mode, level of comfort), and perceptions as regards the usability of each transport option. Particular emphasis was given to the comparison of current activity to that before the pandemic. The survey combined an online (Computer-Assisted Web Interviews, CAWI) approach with telephone (Computer-Assisted Telephone Interviews, CATI) interviews. The sample in each city was representative of the local demographic and socio-economic profile according to age, sex, employment situation, education and urbanization.

Indexed as

Car useImpact analysisMobilityPandemicPublic transportUser choices

Identifiers

PMID36687159
PMCPMC9841731

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.