Feasibility Study of Short-Line Semi-High-Speed Electric Railway in Canada: Case Study of Okanagan Valley Railway
Bibliographic record
Abstract
Across North America there is an increasing demand for faster, less energy intensive and less costly modes of transportation. Furthermore, with the expected high level of congestion in freight shipping lines across the continent, alternate routes will be required. One alternative of strong interest is the placement of a semi-high speed electric railway line through the Okanagan Valley in British Columbia, Canada. This line would not only be able to service the Okanagan Valley, currently a rubber tire exclusive region, but also provide an additional link between the railway lines in the United States and the rest of Canada. The proposed line would run from Osoyoos, where it would connect to existing railways in the US, to Vernon, where it could connect, to railways across Canada. This objectives of this research were threefold: 1) to review literature on electric railways to ascertain, generally, the cost and benefits of construction and operation relative to rubber tire freight and passenger travel costs and benefits, 2) to apply this current level of knowledge to a social cost benefit case study of a possible electric railway serving the Okanagan Valley, and, 3) to identify empirical, science-based gaps in knowledge to be pursued in future research, in order to refine this research towards possible future implementation, with wider relevance to a North American move to sustainable transportation. To this end, a conceptual design including route alignment, traffic forecast as well as a social benefit/cost analysis was conducted. As few studies exist for the Okanagan Valley regarding railway, estimates were made to gain insight into the feasibility of conducting full analyses into the areas where gaps in knowledge exist. It is of interest to identify the areas for which further research is required to obtain more accurate estimates of the costs and benefits of an electric railway through the Okanagan Valley in order to develop a business case in pursuit of federal, provincial and local funding. The results of this research were promising. Regarding the literature, gaps in knowledge were identified on traffic and cost data, and in freight forecast models. However what was available allowed an order-of-magnitude construction cost estimate of $1.45 billion for 100 miles of twinned track. Moreover, if a railway began operation in 2030, the benefit/cost ratio of the project was estimated at 1.7, suggesting semi-high speed electric railway warrants further research. Finally, this study was only a first step towards identifying knowledge gaps that must be addressed prior to any possible North American railway renaissance.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".