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METHODOLOGICAL COMPARISON OF LANE DESIGN APPROACHES UNDER TERMINAL TRAFFIC CONDITIONS IN ŚWINOUJŚCIE

2025· article· en· W4412374831 on OpenAlexaboutno aff
Diana Kotkowska, Maciej Kościelecki

Bibliographic record

VenueScientific Papers of Silesian University of Technology Organization and Management Series · 2025
Typearticle
Languageen
FieldSocial Sciences
Topictransportation and logistics systems
Canadian institutionsnot available
Fundersnot available
KeywordsTerminal (telecommunication)Transport engineeringComputer scienceEngineeringComputer network

Abstract

fetched live from OpenAlex

Purpose: The aim of the study was to look at the challenges posed by the construction of a new container terminal in Świnoujście - both from a technical, operational, environmental and socio economic perspective. The authors focused on how shipping infrastructure can be designed in a modern, safe and sustainable way. A comparison of several methods for determining the width of the fairway was made to assess which one would work best. This will enable an understanding of how to make better decisions when planning such large investments. Design/methodology/approach: For the study, fairway width calculations were made using three methods - Canadian, PIANC and USACE - and the resulting data were collated to better understand the discrepancies. The study also made references to current research about risk in ports and the need for responsible and sustainable investment. Findings: The results of the analysis suggest that the discrepancies between the results of the different methods highlight the importance of an informed choice of tools and design components. It was emphasised that a flexible approach to design is needed to take into account changing climatic, technical and social conditions. The importance of implementing infrastructure monitoring systems was emphasised. Research limitations/implications: The scope of the analysis was partly limited by the availability of up-to-date technical and environmental data, which necessitated the use of simplifications that could affect the precision of the results. In the future, it would be worth extending the study to include computer simulations based on real hydrodynamic and meteorological data and comparing the results with similar investments in other ports to better adapt solutions to local conditions. Practical implications: The results presented can be a valuable resource for practitioners - from port managers to planning and investment professionals. They highlight the importance of a holistic approach - combining technical issues with analysis of risk, environment and social considerations. This can help avoid costly design mistakes and better prepare for future operational challenges. Social implications: The study highlights the impact of such investments on local communities and the environment. They can contribute to more open community dialogue and better policy decisions. Sustainable port planning affects not only the economy, but also the quality of life of residents and the state of the environment.Originality/value: The publication has a practical aspect, being based on a real case study of the planned construction of a container terminal in Świnoujscie. It compares fairway design methods in relation to local conditions. It provides a tool for those involved in port infrastructure development.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.050
metaresearch head score (Gemma)0.094
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.050
Threshold uncertainty score0.263

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0500.094
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0060.004
Science and technology studies0.0020.002
Scholarly communication0.0040.002
Open science0.0030.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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.

Opus teacher head0.093
GPT teacher head0.303
Teacher spread0.210 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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