Do environmental attitudes predict perceived active school travel barriers, facilitators, and motivations among youth? Evidence from a national Canadian survey
Bibliographic record
Abstract
Active school travel (AST; e.g., cycling/walking to/from school) has many potential benefits, yet participation rates are low in many countries. Little is known regarding how the environmental attitudes of youth influence their beliefs and motivations regarding AST. This paper examines the relationships between pro-ecological and dominant social paradigm (DSP; e.g., belief in human exceptionalism) attitudes and the likelihood of reporting different perceived AST barriers, facilitators, and parental/guardian controls among youth, as well as how these attitudes impact different forms of motivation (i.e., external, introjected, identified, and intrinsic regulation) related to AST. Logistic and linear regression analyses of a national-level online survey (n = 1193) of Canadian 8–14 year olds were conducted. Divergences were observed with respect to each analysis of perceived barriers, facilitators, and parental controls, as well as motivations for AST. Mixed findings were found regarding perceived barriers and facilitators; for example, differences were observed regarding the likelihood of perceiving road safety barriers with increases in pro-ecological perspectives being significantly more likely than increases in DSP views to report barriers such as ‘drivers speeding’. Consistent divergent trends were found regarding perceived parental controls and types of motivation for AST. For instance, environment-related parental controls like ‘allowed to cycle on main roads’, and motivations like external regulation, were significantly associated with increases in DSP beliefs but not in response to changes in pro-ecological perspectives. Findings suggest that increases in pro-ecological attitudes tend to predict more perceived barriers to AST and greater intrinsic motivation to engage in AST—trends that are not mirrored in changes among DSP views. Future studies are encouraged to explore other environmental attitudes (e.g., consumption behavior, pollution reduction practices) to compare to our findings. • Active school travel (AST), the behaviour, is linked to socio-environmental factors. • Environmental attitudes and AST barrier, enabler, motivation links are understudied. • A national child/teen survey assessed how such attitudes affect AST perceptions. • Pro-ecological attitudes may predict some AST barriers, facilitators, motivations. • Encouraging pro-ecological attitudes could be a strategy to encourage youth AST.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".