Evidence map›Paper›PMID 41667468›Full record

ArticleNature communications2026

Global patterns of inequality in pedestrian shade provision.

Xinyue Gu, Lukas Beuster, Xintao Liu, Eveline van Leeuwen, Titus Venverloo, Fábio Duarte

Abstract read
In one paragraph

Article in Nature communications, 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

6 authors.

Xinyue GuSenseable City Lab, Massachusetts Institute of Technology, Cambridge, USA. xinyue.gu@connect.polyu.hk.ORCID 0000-0002-8166-6618
Lukas BeusterSenseable City Lab, Massachusetts Institute of Technology, Cambridge, USA.ORCID 0000-0002-1402-9512
Xintao LiuDepartment of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong, China. xintao.liu@polyu.edu.hk.ORCID 0000-0002-7323-9878
Eveline van LeeuwenAmsterdam Institute for Advanced Metropolitan Solutions, Amsterdam, the Netherlands.ORCID 0000-0002-3262-7030
Titus VenverlooSenseable City Lab, Massachusetts Institute of Technology, Cambridge, USA.
Fábio DuarteSenseable City Lab, Massachusetts Institute of Technology, Cambridge, USA. fduarte@mit.edu.ORCID 0000-0003-0909-5379

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Shade provision is the most effective strategy for mitigating heat in cities; yet its distribution remains highly uneven. Using high-resolution simulations of shade casting from buildings and trees on pedestrian areas, combined with socioeconomic data at the neighbourhood level, we assess shade availability across nine climatically and geographically diverse cities: Amsterdam, Barcelona, Belém, Boston, Hong Kong, Milan, Rio de Janeiro, Stockholm, and Sydney. Our results reveal a consistent pattern of spatial and socioeconomic inequality: lower-income and peripheral neighbourhoods tend to receive significantly less shade on sidewalks, despite facing greater heat vulnerability. Notably, inequality persists even in cities with high overall shade coverage, where wealthier areas benefit from disproportionate abundance. By focusing on public pedestrian spaces, rather than general coverage, this study highlights the importance of measuring heat burden through the lens of human experience. We call for equity-centred adaptation strategies that target shade provision where it is most needed, particularly in underserved and exposed communities.

Indexed as

PedestriansCitiesHot TemperatureHumansNeighborhood CharacteristicsSocioeconomic Factors

Identifiers

PMID41667468
PMCPMC12999985

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.