Enhancing Safety and Accessibility for Wheelchair Users in Traditional Tuna Fishing Boats
Bibliographic record
Abstract
Traditional Sekoci tuna boats lack accessibility features, creating significant challenges for wheelchair users.This study addresses these limitations by applying universal design principles to redesign Sekoci boats, emphasizing accessibility, safety, and operational efficiency.Key innovations include wheelchair-specific safety features, ADA-compliant ramps, hydraulic lifts, wider pathways, and optimized cabin and restroom layouts.Using Bentley Maxsurf Academic Software for stability and motion, stability analysis confirmed compliance with IMO standards under full-load conditions.Seakeeping analysis evaluated vessel motion in head seas and quartering head seas at 0 and 7 knots, ensuring stability and usability under varying conditions.The results demonstrate that the redesigned vessel enhances accessibility and safety without compromising operational performance, offering an inclusive solution for wheelchair users.This study advances barrier-free design in small-scale fisheries, promoting equity and inclusivity in maritime operations.Future research should focus on real-world testing to refine the design and establish guidelines for accessible fishing vessels.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
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".