Evidence map›Paper›PMID 42579098›Full record

ArticleEnvironmental science & technology2026

The Need for Realistic Behavior Modeling in Life Cycle Assessment.

Shelie A Miller, Tamar Makov

Abstract read
In one paragraph

Article in Environmental science & technology, 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.

Shelie A MillerCenter for Sustainable Systems, School for Environment and Sustainability, University of Michigan, Ann Arbor, Michigan48109, United States.ORCID 0000-0003-0379-3993
Tamar MakovGuilford Glazer Faculty of Business and Management, Ben-Gurion University of the Negev, Be'er Sheva8410501, Israel.ORCID 0000-0001-7345-5864

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tackling complex environmental problems requires both technological and socio-cultural innovation. Life-cycle assessment methods rigorously and systematically analyze the environmental impacts of products, often focusing on technical parameters. Human behavior is rarely treated with the same level of nuance or complexity, despite having a major influence on the environmental impacts of many products. LCA must evolve to more accurately reflect the role of behavior in the environmental impacts of products. This Perspective provides a framework to identify important human-product interactions that can influence the results of an LCA. Heterogeneous consumer behavior regarding product substitution, use intensity, and lifespan is an important factor that should be explored beyond simple sensitivity analysis or scenario generation. We recommend increased data collection and interdisciplinary collaboration to assess actual consumer behavior, more explicit guidance for integrating consumer behavior into LCAs, and improved communication of behavior-dependent LCA results.

Indexed as

Consumer BehaviorModels, TheoreticalEnvironmentHumansconsumer behaviorhuman–product interactionsrebound effectspilloversuse phase

Identifiers

PMID42579098
PMCPMC13472082

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.