Exploring the Development Trend of Ports in the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) Based on the Intermodal Transport Development of Guangzhou Port
Bibliographic record
Abstract
Nowadays, multimodal transport is developing rapidly, but the individual ports in the Greater Bay Area (GBA) have been operating separately. In this paper, the development status of multimodal transport in Guangzhou port will be used as an example to discuss the development trend of GBA ports. The study found that the multimodal transport model of the Port of Guangzhou has taken shape. However, there are still many shortcomings with old facilities, difficulties in sharing data, and a lack of unified management, which are common to all ports in the GBA. This paper aims to provide ideas for the direction of port development in GBA, hoping to enhance intermodal transport to connect the ports, improve the efficiency of freight transport and promote the formation of a unified dispatch centre for GBA ports. As a result, it is hoped that the GBA Port Management Committee will be built to achieve more efficient management.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 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) | 0.003 | 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".