Public-private partnership and its impact on transport infrastructure development: the experience of Australia and Canada
Bibliographic record
Abstract
Public-private partnership is a governments’ progressive political decision to involve the private sector in the development of public infrastructure by the provision of services such as design, financing, construction, operation, reconstruction, maintenance, etc. The article is devoted to determining the foundations of public-private partnership organization and its impact on improving transport infrastructure. The basic principles of public-private partnership development in the article were researched, taking the historical features of its and modern implementation goals. The study examines the main features of public-private partnership development and its positive and negative aspects. The tasks of the public and private sectors in this cooperation are outlined. The experience of advanced countries of the world (Australia, Canada) in using public-private partnership for the development of public infrastructure was researched. The features of the implementation of Australian and Canadian transport infrastructure projects using the public-private partnership were analyzed, resulting in a list of 20 (10 Australian and 10 Canadian) advanced transport projects, reflecting their key aspects and benefits from implementation. By the results of the study were offered suggestions for optimizing the further development of public-private partnership. These suggestions are especially relevant for countries where public-private partnerships are at an early stage of development. The recommendations have also been offered for the development of national public-private partnership, with the purpose of post-war restoration of the national transport sector, taking into account the specifics of its infrastructure application in developed countries.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.022 | 0.005 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| 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".