Model of personal attitudes towards transit service quality
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
SUMMARY This paper presents a critical investigation of reasons for using transit by residents of the City of Calgary, Canada. Reasons for using transit are expressed as functions of people's perceptions and attitudes towards transit service quality and attributes. A multinomial logit model combined with latent variable models is developed to capture unobserved latent variables in defining perceptions and attitudes. Using data from a transit customer satisfaction survey conducted in 2007 by Calgary Transit, this approach models the reasons for choosing transit and tests the significance of two individual specific latent variables: perceptions of ‘reliability and convenience’ and ‘ride comfort’. Many behavioural details are revealed that have important policy implications. Most importantly, it is found that the people of Calgary value ‘reliability and convenience’ over ‘ride comfort’. As for policy implications of the findings, it is clear that improving the connectivity of train service, reducing multimodal transfers, and increasing dedicated right‐of‐ways for transit would effectively increase transit ridership in Calgary. Copyright © 2010 John Wiley & Sons, Ltd.
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.
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 | 0.001 |
| 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 it