Economic viability of foreign investment in public transport of Pakistan – orange line metro train in focus
Bibliographic record
Abstract
Pakistan, like other developing countries, is also facing environmental and economic challenges in its transportation sector (especially in public transport). Pakistan is going to get finances for the infrastructure-related projects under the China-Pakistan Economic Corridor (CPEC) initiative. One of the CPEC projects is the Orange Line Metro Train (OLMT). The study employs traditional techniques such as linear trend regression, benefit-cost ratio (BCR) and geometric progression to analyse the economic viability of the project. The results show that with given interest rate and stability in exchange rate the project is economically viable, with a benefit/cost ratio (BCR) of 2.11 and Internal Rate of Return (IRR) equal to 3.07 per cent. Furthermore, the sensitivity analysis is done for possible changes in economic conditions as well as for different interest rates for loan repayments. The study is useful for policymakers interested in the benefit–cost analysis of public transportation projects.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".