Flexibility of Freight Transport Sectors
Bibliographic record
Abstract
In this paper, we explore how government policies in the field of transport may affect future freight rates, transit times, and delivery reliability. In particular, attention is paid to the ‘absorptive capacity’ of freight carriers, i.e. the extent to which they can reduce the effects of such policies by adapting their operations. Two policy scenarios are examined: one in which marginal social cost pricing becomes policy in the European Union, and one in which investment in infrastructure networks is insufficient to accommodate the future increase in traffic demand, inducing a strong increase in congestion. Six modes of transportation are included in the analysis, namely road haulage, rail transport, inland navigation, short sea shipping, airfreight, and deep sea container shipping. The study relied on experts’ opinions and estimations, which were collected by means of a Delphi survey. The expectation is that notably road transport will face difficulties in coping with the two scenarios. Its absorptive capacity proves to be the lowest, which deteriorates its competitive position vis-à-vis other modes. Yet, a weakened competitive position of road haulage is also expected autonomously.
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 | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".