Infrastructure in proximity of railways - External environmental monitoring and risk analysis // Infrastruktur i narheten av jarnvagar - Extern miljoovervakning och riskanalys : A document and comparative analysis conducted at Trafikverket; risk analysis of infrastructure in close proximity of railways
Bibliographic record
Abstract
This thesis investigates international railway safety regulations and spatial planning, with a focus on the spatial relationships between railways and adjacent roads. Employing a methodological framework rooted in comparative and document analyses, the study critically evaluates regulatory frameworks from five nations: Sweden, Canada, Norway, Germany, and China. Through the lens of Risk Assessment and Management Theories, Resilience Theory, and dynamic risk management frameworks, the research discuss how different countries approach risk identification, assessment, and mitigation strategies within their railway infrastructure. The findings highlight variations in regulatory approaches and underscore the importance of adaptability, transparency, and consideration of spatial dynamics in enhancing railway safety. By synthesising perceptions from international practices, this study contributes valuable perspectives to the ongoing discourse on optimal spatial relationships in railway infrastructure, with implications for policy development and strategic planning within the transportation sector.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".