The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
LCA and BIM: Visualization of environmental potentials in building construction at early design stages
Abstract
Abstract The vast majority of scientists and policy makers agree that environmental impacts of buildings need to be reduced significantly, and that Life Cycle Assessment (LCA) is a methodology well suited to support this. The importance of evaluating potential improvements to the environmental life cycle performance of buildings in early design stages is widely acknowledged; the wide application of LCA during design however, is restrained by the great uncertainty in design and material decisions at this stage. To support decision making in the early design stage, we propose an approach using Building Information Modeling (BIM) to assess a wide range of construction options and their embodied environmental impact. We use a conceptual BIM model to evaluate a variety of material compositions for different building elements and the potential contribution of elements to the total embodied impact of the building design. The BIM-integrated approach enables identification of design specific hotspots which can be visualized on the building model for communication of LCA results and visual design guidance.
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.
Integrity signals
Registry
Cites
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.
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
Life Cycle Assessment: Past, Present, and Future
Guinée, J. B., Heijungs, R., Huppes, G., Zamagni, A., Masoni, P., Buonamici, R., Ekvall, T., & Rydberg, T. (2011) · Environmental Science & Technology · doi:10.1021/es101316v · Cited by 1,692
de Jong, M., Joss, S., Schraven, D., Zhan, C., & Weijnen, M. (2015) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2015.02.004 · Cited by 1,069
Zabalza Bribián, I., Aranda Usón, A., & Scarpellini, S. (2009) · Building and Environment · doi:10.1016/j.buildenv.2009.05.001 · Cited by 691
The Paris Agreement: a new beginning?
Savaresi, A. (2016) · Journal of Energy & Natural Resources Law · doi:10.1080/02646811.2016.1133983 · Cited by 658
Basbagill, J., Flager, F., Lepech, M., & Fischer, M. (2013) · Building and Environment · doi:10.1016/j.buildenv.2012.11.009 · Cited by 615
Critical review of bim-based LCA method to buildings
Soust-Verdaguer, B., Llatas, C., & García-Martínez, A. (2017) · Energy and Buildings · doi:10.1016/j.enbuild.2016.12.009 · Cited by 512
Anand, C. K., & Amor, B. (2017) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2016.09.058 · Cited by 497
Environmental life cycle assessment of products
Heijungs, R., & Guinée, J. B. (1992) · Medical Entomology and Zoology · Cited by 452
A mixed review of the adoption of Building Information Modelling (BIM) for sustainability
Chong, H.-Y., Lee, C.-Y., & Wang, X. (2017) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2016.09.222 · Cited by 371
LCA databases focused on construction materials: A review
Martínez-Rocamora, A., Solís-Guzmán, J., & Marrero, M. (2016) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2015.12.243 · Cited by 307
Cited by
BIM-Based End-of-Lifecycle Decision Making and Digital Deconstruction: Literature Review
Akbarieh, A., Jayasinghe, L. B., Waldmann, D., & Teferle, F. N. (2020) · Sustainability · doi:10.3390/su12072670 · Cited by 183
Digitizing material passport for sustainable construction projects using BIM
Atta, I., Bakhoum, E. S., & Marzouk, M. M. (2021) · Journal of Building Engineering · doi:10.1016/j.jobe.2021.103233 · Cited by 165
Tushar, Q., Bhuiyan, M. A., Zhang, G., & Maqsood, T. (2021) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2020.125622 · Cited by 152
Metadata
- Authors
- Röck, M., Hollberg, A., Habert, G., & Passer, A.
- Venue
- Building and Environment
- Publisher
- Elsevier BV
- Published
- 2018-08
- Volume
- 140
- Pages
- 153-161
- ISSN
- 0360-1323 (ISSN-L)
- OpenAlex
- W2801550480
- Cited by
- 341
- References
- 40
- FWCI
- 23.08
- Type
- journal article
- Language
- en
- Open access
- closed
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: LCA and BIM: Visualization of environmental potentials in building construction at early design stages. https://app.cochat.ai/papers/10.1016/j.buildenv.2018.05.006
- The paper
- Röck, M., Hollberg, A., Habert, G., & Passer, A. (2018). LCA and BIM: Visualization of environmental potentials in building construction at early design stages. Building and Environment. https://doi.org/10.1016/j.buildenv.2018.05.006
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.
