Improving accessibility to transit: An examination of the public transportation system for older adults in Winnipeg, Manitoba
Bibliographic record
Abstract
An aging population will be a defining characteristic of Canadian demographics for the next 30 years. The convenience, reliability, and flexibility of public transportation systems to meet new and changing demands will be an important issue as Canadian cities age. Blending approaches from urban planning, transportation planning, and gerontology, the researcher investigated public transportation services for older adults in Winnipeg, Manitoba. The focus of this research was to understand how the City of Winnipeg prioritizes and funds transit improvements, the barriers that older adults encounter when using transit, and to look at existing challenges and opportunities to enhance the public transit system. Multiple methods were used in this study. The researcher conducted interviews with urban professionals working for the City of Winnipeg, hosted a focus group with older adult users of public transportation, and collected the demographic data of focus group participants through an exit survey. This research finds that older adults in Winnipeg encounter several barriers to transit which largely fit under the general themes of access to bus stops, access to information, and access to destinations. Recommendations and further areas of investigation are provided.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| 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".