Travel behaviour changes among young adults and associated implications for social sustainability
Bibliographic record
Abstract
Travel behaviour changes among today’s young adults in relation to important life events, and associated implications for environmental sustainability have been discussed in recent studies. However, the social implications of their travel behaviour changes remain less explored. Applying latent transition analysis on longitudinal data collected in 2019 and 2022, we examined travel behaviour changes among young adults in the Greater Toronto and Hamilton Area, Canada in response to two life events- start of employment after completion of education and residential relocation and explored their social sustainability-related implications in terms of potential transportation-related social exclusion. Young adults showed a higher probability of becoming car users in 2022, however, those who joined workforce and relocated to urban areas were more likely to become transit users and active modes users. Young adults who switched away from active modes to public transit participated in fewer activities and were more likely to experience transportation-related social exclusion. Implications for transportation planning and policy have been discussed.
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How this classification was reachedexpand
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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".