Evidence map›Paper›PMID 40537479›Full record

ArticleScientific data2025

Explorative pedestrian mobility geolocated data from a citizen science experiment in a neighbourhood.

Ferran Larroya, Roger Paez, Manuela Valtchanova, Josep Perelló

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. 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

4 authors.

Ferran LarroyaOpenSystems, Departament de Física de la Matéria Condensada, Universitat de Barcelona, Martí i Franqués, 1, 08028 Barcelona, Catalonia, Spain. ferran.larroya@ub.edu.ORCID 0000-0002-0429-7556
Roger PaezELISAVA Barcelona School of Design and Engineering, Universitat de Vic - Universitat Central de Catalunya, La Rambla, 30-32, 08002, Barcelona, Catalonia, Spain.ORCID 0000-0001-9038-552X
Manuela ValtchanovaELISAVA Barcelona School of Design and Engineering, Universitat de Vic - Universitat Central de Catalunya, La Rambla, 30-32, 08002, Barcelona, Catalonia, Spain.ORCID 0000-0001-7168-7645
Josep PerellóOpenSystems, Departament de Física de la Matéria Condensada, Universitat de Barcelona, Martí i Franqués, 1, 08028 Barcelona, Catalonia, Spain. josep.perello@ub.edu.ORCID 0000-0001-8533-6539

Funding

Generalitat de Catalunya (Government of Catalonia) 2021SGR00856Ministry of Economy and Competitiveness | Agencia Estatal de Investigación (Spanish Agencia Estatal de Investigación) MCIN/AEI/10.13039/501100011033 PID2019-106811GB-C33Ministry of Economy and Competitiveness | Agencia Estatal de Investigación (Spanish Agencia Estatal de Investigación) MCIN/AEI/10.13039/501100011033 PID2022-140757NB-I00
6 · The paper itself

Abstract

Pedestrian geolocated data are key to a better understanding of micro-mobility within a neighbourhood. These data can bring new insights into walkability and livability in the context of urban sustainability. However, pedestrian open data are scarce and often lack a context for their transformation into actionable knowledge in a neighbourhood. Citizen science and public involvement practices are powerful instruments for obtaining these data and take a community-centred placemaking approach. The study shares some 3 000 geolocated records corresponding to 19 unique trajectories made and recorded by groups of participants from three distinct communities (72 participants and 19 groups) in a relatively small neighbourhood. The groups explored the neighbourhood through a number of actions and chose different places to stop and perform various social and festive activities. The study shares not only raw data but also processed records with specific filtering and processing to facilitate and accelerate data usage. Citizen science practices and the data-collection protocols involved are reported in order to offer a complete perspective of the research undertaken jointly with an assessment of how community-centred placemaking and operative mapping are incorporated into local urban transformation actions.

Indexed as

Citizen ScienceNeighborhood CharacteristicsPedestriansWalkingCommunity ParticipationHumansResidence Characteristics

Identifiers

PMID40537479
PMCPMC12179305

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.