Proposition of Solutions with Low-Cost and Fast Profits to the Continental Gateway and Trade Corridor Quebec-Ontario (CGTCQO): a Benefit-Cost Analysis and a National Planning Methodology
Bibliographic record
Abstract
The project of the Continental Gateway and Trade Corridor Quebec-Ontario (CGTCQO) is an agreement between the governments of Quebec, Ontario and Canada as well as 46 institutions working in the maritime, air and land in order to develop in this commercial area a multimodal, secure, efficient and sustainable transportation network (Ontario-Quebec Continental Gateway, (2009)). The project was created to solve many problems plaguing the network, especially congestion problems, mainly existing in center areas (Montreal and Toronto), in the borders (especially Detroit- Windsor) and on the busiest roads. Through several years, this situation increased wear of the infrastructure and declined security level, especially at the borders and security, especially on roads; the environmental impacts are also considerable in terms of GHG emissions, and the population’s quality of life. To resolve this problematic, we identify some several solutions by applying a Benefit- Cost Analysis (BCA) on the transportation network of the OQCGTC, subsequently, we propose a National Planning (NP) methodology to expose how to determine an optimal solution for balancing the transportation networks of CGTCQO. In BCA, we do not propose to construct a section of road due to costs associated to this solution, and especially for our interest in solutions related to the Intelligent Transportation Systems (ITS) that can be achieved in the short term and that can have a rapid return on investment, thus, solutions will be adopted quickly and the transportation system can be improved rapidly. as a result of BCA, we have proposed a combination of options that seems the most likely to cover all issues affecting the CGTCQO : apply a tax on GHG emitted by trucks and private cars - with a lower rate for the latter -; install Advanced Fleet Management Systems (AFMS) in all transportation fleets (trucks, trains, boats) and in the consolidation and transfer terminals’ facilities, with ensuring the integration of all the AFMS together; install a Scan -Truck (a Commercial vehicles operating - CVO) at the borders, starting with the Detroit-Windsor border, which is the busiest among the five boundaries of the transportation network at the CGTCQO. Subsequently, we expose what is a NP and we learn from the use of this methodology in Sweden because of its resemblance to the CGTCQO in some areas (weather, geographic position, existence of concentrated traffic flows in the same area, etc.); then we conclude by proposing a methodology to implement a NP model in the CGTCQO while detailing the stages of its implementation and at the same time addressing the factors affecting the infrastructure, integrated technology and/or technology to integrate, the economic, political, regulatory and Social aspects.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".