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Record W4408093378 · doi:10.1016/j.rineng.2025.104550

Uncovering key themes in modular construction waste management and exploring their impact and centrality

2025· article· en· W4408093378 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueResults in Engineering · 2025
Typearticle
Languageen
FieldEngineering
TopicBIM and Construction Integration
Canadian institutionsUniversity of Regina
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsCentralityKey (lock)Modular designProcess managementBusinessKnowledge managementData scienceEngineeringComputer scienceComputer security

Abstract

fetched live from OpenAlex

• Quantifies prefabrication strategies in C&DW studies using text mining. • Co-occurrence analysis elucidates key themes in sustainable modular construction. • Interest in recycling persisted from 2014, especially concrete, from 2018 to 2022. • Impact-Centrality assessment identified RAC as a high-impact theme. • Cluster analysis unveils the nexus between RAC and mechanical properties. Modular construction, encompassing prefabrication and off-site construction, presents compelling benefits over conventional building techniques, notably in mitigating material waste, expediting project schedules, and reducing environmental footprint. The current study investigates 118 studies from 1,843 potential publications to identify the thematic evolution and knowledge gaps in modular construction waste management from 1996 to 2024 using combined text-mining techniques. Network mapping and node analysis using Biblioshiny and SciMat tools provide thematic development and centrality insights. Trend analysis demonstrates a significant increase in research activity post-2015, following the establishment of the United Nations Sustainable Development Goals. Co-occurrence analysis using VOSviewer identified key themes and their interrelations. Cluster analysis further delineated key themes, showing the dominance of topics such as "performance," "mechanical properties," and "recycled aggregate concrete (RAC)". We found that "Reuse" and "Recycling" themes exhibit lower occurrences and link strengths. Additionally, a Sankey Diagram visualizes interrelationships between key themes, references, and contributing countries, notably highlighting contributions from China (34%) and Spain (21%). Further findings reveal a sustained interest in recycling from 2014, particularly recycled concrete from 2018 to 2022, underscoring the adoption of off-site construction to mitigate waste and incorporate recycled materials. Impact-centrality analysis identifies "RAC" as a high-impact theme, following "Prefabrication" and "Sustainability." Network analysis highlights that the mechanical properties of RAC are of considerable interest and concern. The adopted text-mining approach provides a comprehensive view of thematic developments and identifies knowledge gaps, aiding researchers in addressing current waste challenges and developing evidence-based waste policies.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.112
Threshold uncertainty score0.584

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.202
Teacher spread0.193 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it