Identifying the key innovative and collaborative strategies of integrated project delivery method to achieve owner goals in housing projects
Bibliographic record
Abstract
The fragmented nature of tradition project delivery in the Architecture, Engineering, and Construction industry causes many inefficiencies and results in missed project goals and expectations. Integrated Project Delivery (IPD) is new procurement method that has a potential to address these inefficiencies by overcoming traditional fragmentation and fostering collaboration through new contractual arrangements. As IPD is an emerging construction delivery method that is highly driven by the owner’s initiative, vision, and continuous involvement, there are very few IPD projects that focus on large-scale residential or multi-unit housing projects. This led to a finding that IPD implementation is not very common in housing projects and related case-studies are not widely available in Canada. In addition, there is a lack of information about key characteristics of IPD that facilitates success of the project. The focus of this research is to address a current research gap by developing and analyzing housing project case studies that implemented IPD principles or adopted formal IPD approaches. The overall objective of the research is to assess the implementation of key IPD principles on the housing projects and to identify the key innovative and collaborative strategies of IPD through case study analysis. To analyze IPD/IPD-like projects and to develop detailed case studies, a case study framework was developed for this study. The thesis documents four IPD/IPD-like Canadian housing projects, namely priMED Mosaic Centre, St. Jerome’s University Student Residence and Academic Centre, UBC Brock Commons, and Jacobson Hall at Trinity Western University. The case study for each project has been documented using the developed framework. The project case studies document project context, organizational setup, processes, technology implemented, and project outcomes in detailed. This research summarizes key features and lesson learned from the four case studies through cross-project analysis. The identified IPD-like innovative and collaborative strategies in this research can be considered for implementation in future housing projects to obtain better outcomes.
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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 | 0.018 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".