Research on Service Quality of "12306 China Railway" Mobile Ticketing Software
Bibliographic record
Abstract
In recent years, with the vigorous development of mobile application software market and the continuous growth of China railway, the official mobile application "12306 China Railway" has been increasingly used by the people to purchase train tickets.This paper aims to study the service quality of "12306" mobile ticketing software using the SERVQUAL scale.For this, the in-depth interview method combined with the service characteristics of mobile ticketing software to modify the original dimension and question of SERVQUAL scale, and then determine the adjusted SERVQUAL scale containing a total of 20 questions and 5 dimensions.Based on the revised SERVQUAL scale, the questionnaire survey was conducted to analyse the respondents' expected value and actual value of the "12306" mobile app through the data collection, and calculate the difference between perception and expectation of the users in the process of software ticketing.Finally, the problems with the service quality of 12306 mobile app was found through the reliability and validity analysis, and target suggestions were given.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".