Evidence map›Paper›PMID 41700380›Full record

ArticleHealth promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals2026

From Policy to Action: Co-Designing Research With Local Government to Advance Urban Greening.

Carmel Williams, Yonatal Tefera, Veronica Soebarto, John Kandulu, Melanie Lowe, Jacinta Humphrey, Thami Croeser, Lara Daddow, Ben Willsmore

Abstract read
In one paragraph

Article in Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals, 2026. 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. From Policy to Action: Co-Designing Research With Local Government to Advance Urban Greening.Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals · 2026
    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.

Carmel WilliamsCentre for Health in All Policies Research Translation, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia.ORCID https://orcid.org/0000-0003-2765-3020
Yonatal TeferaCentre for Health in All Policies Research Translation, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia.ORCID https://orcid.org/0000-0002-1208-9925
Veronica SoebartoSchool of Architecture and Civil Engineering, Adelaide University, Adelaide, South Australia, Australia.ORCID https://orcid.org/0000-0003-1397-8414
John KanduluCollege of Business, Government and Law, Flinders University, Bedford Park, South Australia, Australia.ORCID https://orcid.org/0000-0002-1871-4429
Melanie LoweCentre for Urban Research, School of Global, Urban and Social Studies, RMIT University, Melbourne, Victoria, Australia.
Jacinta HumphreyICON Science, Centre for Urban Research, School of Global, Urban and Social Studies, RMIT University, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0002-4334-7018
Thami CroeserICON Science, Centre for Urban Research, School of Global, Urban and Social Studies, RMIT University, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0003-1966-1864
Lara DaddowCity of Salisbury, Salisbury, South Australia, Australia.
Ben WillsmoreCity of Unley, Unley, South Australia, Australia.

Funding

Adelaide UniversityAXA Research FundNational Health and Medical Research Council 2008937
6 · The paper itself

Abstract

issue addressedUrban greenspaces are widely recognised for their benefits to public health, the environment and climate resilience and are supported by strong policy commitments across federal, state and local governments. However, Australian cities continue to experience net greenspace loss, reflecting a gap between policy commitments and implementation. A key contributor to this gap is the systematic undervaluation of greenspace and urban trees within local government decision-making, particularly where their health, environmental and social benefits are not adequately reflected in economic assessments. This study aimed to develop a locally relevant economic framework and tools to support local governments' efforts to operationalise their urban greening policy goals.

methodA co-design methodology was applied over an 18-month period with the City of Salisbury and the City of Unley local governments in Adelaide, Australia. The process included co-design workshops and other stakeholder engagement activities, to co-develop economic scenarios, iteratively refine an economic modelling framework and collaboratively develop a prototype decision-support tool and associated communication resources.

resultsThe co-design process enabled shared problem framing, led to the development of locally relevant economic scenarios, and refined model assumptions to reflect operational realities of the councils. Outputs included: (1) an economic modelling framework to quantify costs and benefits of urban trees; (2) a prototype Urban Greening Decision-Making Tool and (3) tailored communication resources (including fact sheets, infographics and a policy brief).

conclusionThis case study demonstrates that bridging the policy-implementation gap requires more than producing evidence; it requires researchers to work in genuine, trust-based partnership with practitioners. This involves approaching collaboration with humility and flexibility, listening to partners' priorities and co-creating research and outputs.

Indexed as

Environment DesignLocal GovernmentPolicy MakingAustraliaHumans

Identifiers

PMID41700380
PMCPMC12910417

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.