Evidence map›Paper›PMID 38325277›Full record

ArticleJournal of environmental management2024

Co-producing knowledge on the use of urban natural space: Participatory system dynamics modelling to understand a complex urban system.

Irene Pluchinotta, Ke Zhou, Gemma Moore, Giuseppe Salvia, Kristine Belesova, Nahid Mohajeri, Joanna Hale, Michael Davies, Nici Zimmermann

Abstract read
In one paragraph

Article in Journal of environmental management, 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

9 authors.

Irene PluchinottaInstitute for Environmental Design and Engineering, The Bartlett Faculty of the Built Environment, University College London, London, United Kingdom. Electronic address: i.pluchinotta@ucl.ac.uk.
Ke ZhouInstitute for Environmental Design and Engineering, The Bartlett Faculty of the Built Environment, University College London, London, United Kingdom.
Gemma MooreInstitute for Environmental Design and Engineering, The Bartlett Faculty of the Built Environment, University College London, London, United Kingdom.
Giuseppe SalviaInstitute for Environmental Design and Engineering, The Bartlett Faculty of the Built Environment, University College London, London, United Kingdom.
Kristine BelesovaLondon School of Hygiene and Tropical Medicine, London, United Kingdom.
Nahid MohajeriInstitute for Environmental Design and Engineering, The Bartlett Faculty of the Built Environment, University College London, London, United Kingdom.
Joanna HaleUCL Centre for Behaviour Change, University College London, London, United Kingdom.
Michael DaviesInstitute for Environmental Design and Engineering, The Bartlett Faculty of the Built Environment, University College London, London, United Kingdom.
Nici ZimmermannInstitute for Environmental Design and Engineering, The Bartlett Faculty of the Built Environment, University College London, London, United Kingdom.

Funding

Wellcome Trust
6 · The paper itself

Abstract

Decision-makers are increasingly asked to act differently in how they respond to complex urban challenges, recognising the value in bringing together and integrating cross-disciplinary, cross-sectoral knowledge to generate effective solutions. Participatory modelling allows to bring stakeholders together, enhance knowledge and understanding of a system, and identify the impacts of interventions to a given problem. This paper uses an interdisciplinary and systems approach to investigate a complex urban problem, using a participatory System Dynamics modelling process as an approach to facilitate learning and co-produce knowledge on the factors influencing the use of urban natural space. Stakeholders used a Systems Dynamics model and interface, as a tool to collectively identify pathways for improving the use of space and simulating their impacts. Under the lens of knowledge co-production, the paper reflects how such mechanisms can lead to the co-production of knowledge and social learning. The findings also contribute to identify ways of increasing the value of urban natural space focusing on urban areas undergoing physical and social transformation, such as the Thamesmead case study, London, UK.

Indexed as

Social LearningKnowledgeParticipatory modellingParticipatory system dynamicsSimulationSocial learningStakeholdersSustainabilityThamesmeadTransdisciplinary

Identifiers

PMID38325277
PMCPMC11129192

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.