Users' views on current and future real‐time bus information systems
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 Actual bus arrival times often deviate from the posted schedules due to a variety of factors; hence, providing real‐time bus information can improve service quality. This study examined users' views and perceptions towards the possible future availability of real‐time bus information systems in Calgary, Alberta, Canada. A face‐to‐face paper‐based survey was conducted to collect the data. Various statistics and methods, such as ANOVA tests, ordinal regression and binary logistic regression, were used to analyse the data. The results showed that 35.5% of the respondents either agreed or strongly agreed that the current information system deterred or discouraged them from using public transport. In addition, a significant portion of respondents (82%) stated that they board the first arriving bus, even though it may take a longer in‐vehicle time to complete the trip, because of uncertainty regarding the arrival time of the next alternative bus with a shorter in‐vehicle travel time. A majority of the respondents (88%) indicated that real‐time transit information would not be necessary if bus headways are less than 10 minutes. As for preferred information content, information on the next bus arrival time received the highest priority. In general, Light Rail Transit (LRT) users showed the least interest in real‐time information. Women, younger riders, current car users and infrequent transit users showed a higher interest in real‐time information. Display boards at bus stops were perceived to be the most preferred medium to get en‐route information, whereas a website/call centre was stated to be the preferred media for pre‐trip information. Copyright © 2012 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 | 0.002 |
| 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