Evidence map›Paper›PMID 40987784›Full record

ArticleScientific reports2025

The world's largest cities under climate change and their adaptive capacity to rising heat.

John Friesen, Hannes Taubenböck

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

John FriesenDepartment of Global Urbanization and Remote Sensing, University of Wuerzburg, John-Skilton-Str. 4a, 97074, Würzburg, Germany. john.friesen@uni-wuerzburg.de.
Hannes TaubenböckDepartment of Global Urbanization and Remote Sensing, University of Wuerzburg, John-Skilton-Str. 4a, 97074, Würzburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We quantify future urban heat exposure and adaptation capacity for the 1563 largest global cities, for the first time globally integrating climate projections, urban morphology, and economic capacity. We use high-resolution mean annual temperature (MAT) projections under SSP1-2.6, SSP3-7.0, and SSP5-8.5. These are combined with Local Climate Zone (LCZ) profiles and downscaled socioeconomic data, evaluated consistently within morphological city boundaries. With this framework, we identify cities projected to exceed a 29 °C MAT threshold by 2071-2100. The number of threshold-exceeding cities is projected to rise from 17 (2011-2040) to 217 (2071-2100), exposing up to 320 million residents. Cities with compact built-up forms show higher exposure, while responsiveness to eight expert-curated adaptation measures (e.g., reflective materials, greening, water bodies) and GDP distributions reveal large regional disparities in adaptive capacity. European cities face the steepest relative warming (median + 4 °C under SSP5-8.5), while African and South American cities, despite smaller increases (+2.7 to 3.2  °C), confront higher baseline heat. Our framework demonstrates how morphology- and economy-informed adaptation planning can spatially target measures to safeguard urban habitability in a warming world.

Indexed as

Climate changeClimate nicheExposureProjectionsUrbanization

Identifiers

PMID40987784
PMCPMC12457604

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.