Evidence map›Paper›PMID 37649623›Full record

ArticleMethodsX2023

Observation-based data-gathering method to support the assessment of the use of cultural ecosystem services in urban green spaces.

Luís Valença Pinto, Miguel Inácio, Paulo Pereira

Abstract read
In one paragraph

Article in MethodsX, 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

3 authors.

Luís Valença PintoResearch Centre for Natural Resources, Environment and Society (CERNAS), Polytechnic Institute of Coimbra, Coimbra Agrarian Technical School, Coimbra, Portugal.
Miguel InácioEnvironmental Management Laboratory, Mykolas Romeris University, Vilnius, Lithuania.
Paulo PereiraEnvironmental Management Laboratory, Mykolas Romeris University, Vilnius, Lithuania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urban green spaces (UGS), such as parks, gardens, forests, and green infrastructure, supply numerous regulating, provisioning and cultural ecosystem services to urban communities, which is key for their wellbeing. To effectively plan and design UGS, it is crucial to understand how people use them and the factors that influence their usage. The diverse range of factors includes cultural, socioeconomic, demographic, seasonal, and spatial aspects, which present a challenge for studying these areas. Data collection methods based on observation enable capturing of high-quality data that reflect the behaviours in UGS, providing valuable insights for urban planners and policymakers. Standardised protocols and frameworks facilitate knowledge gathering, allowing researchers and practitioners to build upon evidence for effective urban planning and policymaking. This work aims to develop a method based on a mobile app to collect observation-based data on UGS usage efficiently.•Mobile app to collect georeferenced information on observed activities, basic sociodemographic characteristics, time and seasonal factors, and park characteristics, including the spatial distribution of park recreational equipment.•App optimised for fast and accurate data collection.•Focused on cultural ecosystem services.

Indexed as

Digital data collectionMobile appObsUGS – Mobile tool to collect observational data on the use of urban green spacesQuantitativeStandardisation

Identifiers

PMID37649623
PMCPMC10462849

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.