Evidence map›Paper›PMID 42284351›Full record

ArticlePloS one2026

Environmental footprint quantification and optimization methods for digital poster design based on life cycle assessment.

Yilin Liu, Ping Ji

Abstract read
In one paragraph

Article in PloS one, 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

2 authors.

Yilin LiuCollege of Art and Design, Shaanxi University of Science and Technology, Xian, China.
Ping JiCollege of Art and Design, Shaanxi University of Science and Technology, Xian, China.ORCID https://orcid.org/0009-0008-9549-0298

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital poster design has become a dominant visual communication medium, yet its environmental impacts remain poorly understood despite assumptions of inherent sustainability. This research developed a specialized life cycle assessment methodology to quantify and optimize the environmental footprint of digital poster systems. The framework encompasses five lifecycle stages from design creation through data deletion, employing real-time monitoring and dynamic data collection across a six-month case study with a digital marketing agency. Assessment results revealed total carbon emissions of 7.45 kg CO₂-eq per functional unit, with distribution infrastructure and display operations contributing 89% of lifecycle impacts. Implementation of comprehensive optimization strategies achieved 28.6% reduction in climate change impact through hardware efficiency improvements, temporal scheduling, and cloud platform adoption. Sensitivity analysis identified data center PUE as the most influential parameter, while geographic variations significantly affected regional impacts. The methodology advances LCA application in digital systems by incorporating workload-specific assessments and providing actionable optimization guidance. These findings demonstrate that systematic environmental management can achieve substantial impact reductions while maintaining creative excellence, supporting the digital design industry's transition toward genuine sustainability rather than merely shifting environmental burdens between lifecycle stages.

Indexed as

Carbon FootprintClimate ChangeDigital Media

Identifiers

PMID42284351
PMCPMC13262869

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.