Assessing the Environmental Implications of Industrialized Housing: a Systematic Literature Review
Bibliographic record
Abstract
Industrialized Housing (IH), also referred to as prefabrication, preassembly, modularization, and/or off-site fabrication, is a growing strategy for constructing housing. IH offers potential for significant reduction of environmental impact in comparison to traditional housing construction. Past research used methods such as environmental impact assessment on given case study buildings or expert’s opinions to identify the benefits and drawbacks present on the lifecycle of houses constructed partially or fully using IH methods. Nevertheless, this literature is scattered across several sources and units of analysis. The specific factors of IH that contribute to environmental impact reduction have not been comprehensively reviewed and summarized from design considerations up to the end of life possibilities. In this paper, a systematic literature review is performed on the environmental implications of the industrialized way of constructing residential buildings. From a review of 49 journal publications, this paper identifies 18 key factors that influence the environmental performance of such residential buildings. These factors are categorized into the following lifecycle phases of the IH process: a) system design, b) material design, c) manufacturing and logistics, d) transportation and assembly, e) Operational phase, and f) end of life. Findings reveal the importance of decisions made in design phases such as choice of materials, which in turn show a snowball effect throughout the phases. A final category – g) support and hindrance of IH - includes a discussion of external factors such as building codes and regulatory policies and their impact on IH performance.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.020 | 0.018 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".