Evidence map›Paper›PMID 40901905›Full record

ArticlePloS one2025

Minimizing Urban Carbon Emissions and Heat Island Intensity: A theoretical study.

Fabian Reitemeyer, Fabiano L Ribeiro, Jan Schwarz, Benjamin Gugel, Alexander Schacht, Diego Rybski

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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.

Fabian ReitemeyerDistrict Office Friedrichshain-Kreuzberg, Organizational Unit Climate and International, Berlin, Germany.
Fabiano L RibeiroDepartment of Physics (DFI), Federal University of Lavras (UFLA), Lavras, Minas Gerais, Brazil.
Jan SchwarzKlima-Bündnis der europäischen Städte mit indigenen Völkern der Regenwälder (Alianza del Clima e.V.; Klima-Bündnis e.V.), Frankfurt am Main, Germany.
Benjamin GugelInstitut für Energie- und Umweltforschung Heidelberg gGmbH (ifeu), Heidelberg, Germany.
Alexander SchachtKlima-Bündnis der europäischen Städte mit indigenen Völkern der Regenwälder (Alianza del Clima e.V.; Klima-Bündnis e.V.), Frankfurt am Main, Germany.
Diego RybskiLeibniz Institute of Ecological Urban and Regional Development (IOER), Dresden, Germany.ORCID https://orcid.org/0000-0001-6125-7705

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cities exhibit both beneficial and detrimental characteristics, many of which stem from agglomeration effects and are, to a first approximation, influenced by population size. However, urban density also plays a critical role. For example, cities with similar population sizes but higher densities tend to emit less carbon, while simultaneously exhibiting a more pronounced urban heat island (UHI) effect. This trade-off highlights the need for a balanced approach that simultaneously minimizes both carbon emissions and the urban heat island (UHI) effect. To address this challenge, we examine how both carbon emissions and UHI intensity are influenced by the population size and spatial extent of the cities. As objective function we define the some of both quantities where city population and area are variables. Considering the scaling relation between area and population as constraint, we derive a theoretical expression leading to an optimal city size. To validate our approach, we analyze carbon emissions data from cities in Germany and consider UHI parameters from the literature. We find that, in the specific case of German cities, achieving an optimal city size that simultaneously minimizes both carbon emissions and UHI intensity is not physically feasible. From a methodological perspective, only the UHI intensity parameters, together with the exponent of the relationship between population and area, determine whether an optimum exists or not. We argue that instead, the scaling relation between population and area itself should be understood as an optimum.

Indexed as

CarbonHot TemperatureModels, TheoreticalCitiesGermanyHumansPopulation DensityCarbon

Identifiers

PMID40901905
PMCPMC12407424

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LicenceCC BY
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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.