Port Strategy for Sustainable Development
Bibliographic record
Abstract
Today, most large port hubs include the circular economy transformation challenge, together with smart digitalization and Internet of Things (IoT), in their strategic priorities. However, many ports do not seem to have progressed beyond incremental, small-scale sustainable innovations or the support of rather fragmented sustainability initiatives. The challenges are complex, since ports do not only have to reconsider their own core activities but also their role in the supply chain of shippers, to lift themselves out of the linear lock-in. Opportunities are also created, and port authorities and businesses need to embrace circular learning and turn these projects into sustainable business models. This strategic change or refocus requires new insights into innovative governance and business frameworks, the link between strategy and commercially viable business models, systems innovation, intensified stakeholder collaboration and co-creation, altered traffic segments and hinterland focus, amongst others. These Special Issue articles address current CE transition concerns salient to port strategists and managers, such as first strategic changes towards circular ports, building awareness on the importance of sustainability data and available space, and how port authorities can develop circular business models.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 teacher head, 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".