Evidence map›Paper›PMID 42369046›Full record

ReviewiScience2026

A review of scenario analysis tools for urban green space planning and management.

Xinyi Wang, Ruixia Wang

Abstract readReview
In one paragraph

Review in iScience, 2026. 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

2 authors.

Xinyi WangCollege of Landscape Architecture, Nanjing Forestry University, Nanjing, China.
Ruixia WangCollege of Art and Design, Nanjing Forestry University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Scenario analysis can help urban green space planning respond to uncertain environmental, social, and policy futures. This systematic review analyzed 157 publications to clarify its applications in green space planning and management. We distinguished two research traditions-studies identifying urban green spaces from land use and land cover data for regional ecological planning (UGS1), and studies examining green infrastructure within built urban environments (UGS2). Using a three-stage framework of scenario analysis, we found clear differences in the geographic distribution, focal issues, scenario construction approaches, and evaluation pathways. UGS1 mainly addressed ecological security and climate-related issues, whereas UGS2 emphasized climate regulation, stormwater management, and urban environmental quality. Overall, systematic evaluation frameworks and stakeholder engagement remained limited. This review identifies five opportunities to make scenario-based green space planning more actionable and decision relevant.

Indexed as

ecologyenvironmental scienceurban forestry

Identifiers

PMID42369046
PMCPMC13293698

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.