Evidence map›Paper›PMID 42477088›Full record

ArticleScientific reports2026

Advancing the capability approach to well-being pathways from access and use of urban green space.

Irvanu Rahman, Somidh Saha, Armin Grunwald

Abstract read
In one paragraph

Article in Scientific reports, 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

3 authors.

Irvanu RahmanInstitute for Technology Assessment and Systems Analysis, Karlsruhe Institute of Technology, Karlstraße 11, 76133, Karlsruhe, Germany. irvanu.rahman@kit.edu.ORCID 0000-0001-6191-455X
Somidh SahaInstitute for Technology Assessment and Systems Analysis, Karlsruhe Institute of Technology, Karlstraße 11, 76133, Karlsruhe, Germany.
Armin GrunwaldInstitute for Technology Assessment and Systems Analysis, Karlsruhe Institute of Technology, Karlstraße 11, 76133, Karlsruhe, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urban green spaces (UGS) are critical for well-being, yet greening efforts often prioritize physical proximity while assuming equal benefit. Challenging this assumption, we apply Amartya Sen's Capability Approach by conceptualizing and empirically assessing residents' access-use-benefit pathways that determine their ability to convert green space availability into realized well-being. Using participatory survey data from Jakarta, we evaluated how travel time, transport modes, and socioeconomic conditions shape individuals' ability to convert spatial access into realized engagement. We operationalize this pathway through a novel time-based benefit-cost ratio approach that measures constrained functioning and reveals inequalities hidden by proximity-based planning. Our results showed that residents with lower socioeconomic status and those reliant on walking or public transport face greater time burdens and constrained access, limiting their ability to benefit from the park meaningfully. These findings demonstrate that spatial proximity alone is insufficient for equitable greening outcomes. To support just and inclusive cities, planners must address structural and temporal barriers hindering the meaningful green space use and the well-being opportunities it enables, particularly those stemming from socioeconomic disadvantage, time constraints, and mobility limitations.

Indexed as

Parks, RecreationalCitiesHumansSocioeconomic FactorsTransportationWalking

Identifiers

PMID42477088
PMCPMC13385391

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.