Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 182

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Toward a computational structure for life cycle sustainability analysis: unifying LCA and LCC

Open access
Heijungs, Reinout, Settanni, Ettore, Guinée, Jeroen·2013·The International Journal of Life Cycle Assessment

Abstract

A widely used theory of the computational structure of life cycle assessment (LCA) has been available for more than a decade. The case of environmental life cycle cost (LCC) is still less clear: even the recent Code of Practice does not specify any formula to use. This paper does not aim to resolve all the issues at stake. But it aims to provide an explicit and transparent description of how to calculate the life cycle cost (in whatever way defined), and the value added across the life cycle. The expressions obtained can be fed into the formulas for eco-efficiency, so that an explicit and reproducible eco-efficiency indicator can be calculated. The results are useful for developing life cycle sustainability analysis, combining LCA, LCC, and social LCA.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1007/s11367-012-0461-4

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 2 references

Cited by

See all 182

Metadata

Authors
Heijungs, R., Settanni, E., & Guinée, J.
Venue
The International Journal of Life Cycle Assessment
Published
2012-07-07
Volume
18
Issue
9
Pages
1722-1733
ISSN
  • 0948-3349 (ISSN-L)
  • 1614-7502
OpenAlex
W2160981863
Cited by
182
References
2
FWCI
46.21
Type
journal article
Language
en
Open access
hybrid

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Toward a computational structure for life cycle sustainability analysis: unifying LCA and LCC. https://app.cochat.ai/papers/10.1007/s11367-012-0461-4
The paper
Heijungs, R., Settanni, E., & Guinée, J. (2013). Toward a computational structure for life cycle sustainability analysis: unifying LCA and LCC. The International Journal of Life Cycle Assessment. https://doi.org/10.1007/s11367-012-0461-4

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.