A Study on the Utility Measurements and Influencing Factors of High-Speed Rail and Air Passenger Travel
Bibliographic record
Abstract
The increase in travel mode options has led to changes in the travel decision-making behaviors of passengers and differences in spatial patterns of the markets of high-speed rail and air travel. Taking China’s central cities as the research subject, we analyze the spatial differentiation characteristics of high-speed rail and air transportation markets from a geographic perspective based on the passenger travel utility function. We analyze the influence on passenger travel decision-making behavior from the perspectives of the socioeconomic level and fare structure. The findings show that in the central city transportation market, passengers have a stronger preference for air travel. However, there are differences between regions, with high-speed rail dominating more in the partial north and air focusing on the partial south. As the value of time per capita increases, the dominant range of air travel gradually increases, while the dominant range of high-speed rail travel is compressed to some extent. An increase in fares does not cause a significant decrease in air demand; however, a reduction in fares leads to an increase in air passenger travel satisfaction.
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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".