Optimizing the Transfer Process of Air-Rail Integration Services: A Simulation Approach
Bibliographic record
Abstract
With the progress of regional integration in China and the growth of passenger travel demand, a single travel mode has been unable to meet passengers’ cross-regional, multimodal, and personalized travel needs. Air-rail integration service (ARIS) is gradually catching on with travellers. Compared with developed countries, ARIS remains in its infancy in China, with a low penetration rate. Against this backdrop, this study presents an SP survey of ARIS passengers at Shijiazhuang Zhengding International Airport as an example and analyses the factors affecting their transfer process using multiple ordinal logistic regression. The satisfaction analysis results help to construct a simulation model of ARIS of Shijiazhuang Zhengding International Airport by using AnyLogic to verify the optimization effect. The research results show a significant impact on the ARIS transfer process by gender, education, occupation, travel mode, travel cost, location of the shuttle bus, arrival frequency of shuttle bus, manual baggage check-in service, self-service check-in, and the performance of security check equipment. The adoption of optimization measures will reduce ARIS shuttle bus, baggage check-in, and security check-in times by 68%, 50%, and 45%, respectively.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".