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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA)
Parece, S., Resende, R. & Resende, R. (2025). Current Trends and Challenges in BIM–LCA Integration. In Swarm Intelligence Applications for the Cities of the Future.
Exportar Referência (IEEE)
S. M. Parece et al.,  "Current Trends and Challenges in BIM–LCA Integration", in Swarm Intelligence Applications for the Cities of the Future, 2025
Exportar BibTeX
@incollection{parece2025_1732951482459,
	author = "Parece, S. and Resende, R. and Resende, R.",
	title = "Current Trends and Challenges in BIM–LCA Integration",
	chapter = "",
	booktitle = "Swarm Intelligence Applications for the Cities of the Future",
	year = "2025",
	volume = "",
	series = "",
	edition = "",
	publisher = "",
	address = "",
	url = "https://www.routledge.com/Swarm-Intelligence-Applications-for-the-Cities-of-the-Future/ManoDomingos-JoseSousa/p/book/9781032656755"
}
Exportar RIS
TY  - CHAP
TI  - Current Trends and Challenges in BIM–LCA Integration
T2  - Swarm Intelligence Applications for the Cities of the Future
AU  - Parece, S.
AU  - Resende, R.
AU  - Resende, R.
PY  - 2025
UR  - https://www.routledge.com/Swarm-Intelligence-Applications-for-the-Cities-of-the-Future/ManoDomingos-JoseSousa/p/book/9781032656755
AB  - Building information modelling (BIM) optimises life cycle assessment (LCA) processes by automating the detailed extraction of quantities from BIM models and reducing labour-intensive processes. However, it is difficult to identify the most effective and accurate BIM-based LCA approach, which depends on the design phase, the maturity of the BIM information, modelling techniques and the overall goal of the LCA. Additionally, there is a shortage of systematic knowledge regarding the present obstacles and potential directions for BIM-based LCA.
This article conducts a systematic literature review analysing 65 publications between 2013 and 2024, using scientometry techniques and detailed content analysis. The results show that current methods still require many manual processes that can be automated, namely the BoQ edition and mapping of LCA data; do not allow for continuous monitoring of environmental impacts throughout the design stages; and are not adapted to renovation or refurbishment BIM models.
Furthermore, although LCA and the circular economy are directly related concepts, there is a lack of research into how circular economy strategies quantitatively influence LCA results and methods.

ER  -