Evidence map›Paper›PMID 31324796›Full record

ArticleNature communications2019

Effects of changing population or density on urban carbon dioxide emissions.

Haroldo V Ribeiro, Diego Rybski, Jürgen P Kropp

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
13.5field-weighted citation impact, top 1% of its field
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

33 citing papers in PubMed, 321 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Urban Scaling Functions: Emission, Pollution and Health.Journal of urban health : bulletin of the New York Academy of Medicine · 2024
    Article
  8. Article
  9. Climate Changes and COVID-19.Advances in experimental medicine and biology · 2024
    Article
  10. Article
  11. Article
  12. COEnvironmental research letters : ERL [Web site] · 2023
    Article
  13. Scaling of the morphology of African cities.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  14. Article
  15. Article
  16. The Impact of Intermediate Goods Imports on Energy Efficiency: Empirical Evidence from Chinese Cities.International journal of environmental research and public health · 2022
    Article
  17. Article
  18. Direct observations of COThe Science of the total environment · 2022
    Article
  19. Article
  20. Quantifying the Impact of Urban Form and Socio-Economic Development on China's Carbon Emissions.International journal of environmental research and public health · 2022
    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

3 authors at 3 institutions in 2 countries.

Haroldo V RibeiroDepartamento de Física, Universidade Estadual de Maringá, Maringá, PR, 87020-900, Brazil. hvr@dfi.uem.br.ORCID http://orcid.org/0000-0002-9532-5195
Diego RybskiPotsdam Institute for Climate Impact Research - PIK, P.O. Box 601203, 14412, Potsdam, Germany. ca-dr@rybski.de.ORCID http://orcid.org/0000-0001-6125-7705
Jürgen P KroppPotsdam Institute for Climate Impact Research - PIK, P.O. Box 601203, 14412, Potsdam, Germany.ORCID http://orcid.org/0000-0001-7791-3420
Potsdam Institute for Climate Impact Research · DEUniversidade Estadual de Maringá · BRUniversity of Potsdam · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The question of whether urbanization contributes to increasing carbon dioxide emissions has been mainly investigated via scaling relationships with population or population density. However, these approaches overlook the correlations between population and area, and ignore possible interactions between these quantities. Here, we propose a generalized framework that simultaneously considers the effects of population and area along with possible interactions between these urban metrics. Our results significantly improve the description of emissions and reveal the coupled role between population and density on emissions. These models show that variations in emissions associated with proportionate changes in population or density may not only depend on the magnitude of these changes but also on the initial values of these quantities. For US areas, the larger the city, the higher is the impact of changing its population or density on its emissions; but population changes always have a greater effect on emissions than population density.

Identifiers

PMID31324796
PMCPMC6642210
OpenAlexW2963516413

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.