Characterizing Older Adults’ Travel Behaviour and Unmet Needs: Findings from the Canadian Longitudinal Study on Aging (CLSA)
Bibliographic record
Abstract
This study provides researchers, practitioners, and policy makers with a profile of older adults' travel behaviour and the older adult population that reports unmet travel needs. In addition, we quantified associations between reporting an unmet travel need and measures of health and social connectedness. Data came from the second follow-up survey of the Canadian Longitudinal Study on Aging, collected from 2018 to 2021 (n = 14,167). Nine in ten (90.2%) older adults aged 65 years and older indicated that driving is the main way they get around. Older adults with an unmet travel need were more likely to be women, have lower household incomes and education levels, and have a mobility limitation. People with an unmet travel need had 2.7 times the odds of reporting fair or poor general health (OR = 2.66, 95% CI: 2.19, 3.22) and 3.1 times the odds of feeling socially isolated (OR = 3.10, 95% CI: 2.57, 3.72) compared to those without an unmet need.
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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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".