Evidence map›Paper›PMID 37948382›Full record

ArticlePloS one2023

The driving factors behind urban communities' carbon emissions in the selected urban villages of Jakarta, Indonesia.

Fatmah Fatmah

Abstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

1 author.

Fatmah FatmahDisaster Management Study Program, School of Environmental Science Universitas Indonesia, Jakarta, DKI Jakarta Province, Indonesia.ORCID 0000-0002-2763-0219

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As there is a high number of urban communities and residential activities like electricity uses, transportation, food consumption, garbage production, and knowledge on climate change and carbon emissions, these affect the resulting carbon emissions in the city. However, the studies learn about the association between household and human activities, socio-demographic characteristic, carbon emissions and climate change knowledge on urban communities carbon emissions at Jakarta are still rare. This study aimed to assess whether daily human behavior, demographic variables, climate change knowledge, and carbon emissions knowledge affecting carbon emissions of urban communities. A cross-sectional study design was performed via a structured questionnaire survey and a jejakkarbonku application towards 200 respondents who were living in the two selected urban villages of Jakarta, Indonesia (Jatinegara and East Cengkareng). The results revealed that the mean urban communities' carbon emissions in the region were 4.4 tonnes CO2 eq/th. Electricity consumption in the kitchen and dining room produced the most carbon emissions (38.6%), and waste disposal activity produced the least (0.68%). Urban carbon emissions affected by employment status and income level, but not according to food consumption, garbage production, climate change and carbon emission knowledge. Climate change and carbon emissions knowledge influenced by marital and employment status. Although not significant, in theory, these two types of knowledge contribute indirectly to carbon emissions. Further research on the low carbon diet, intervention studies to increase deep awareness on the carbon emissions and climate change is needed to develop strategies reducing carbon emissions at urban communities.

Indexed as

CarbonRefuse DisposalCarbon DioxideCitiesCross-Sectional StudiesHumansIndonesiaCarbonCarbon Dioxide

Identifiers

PMID37948382
PMCPMC10637665

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.