The relationship between new transportation infrastructure and psychosocial well-being: A case study of the Red Hill Valley Parkway in Hamilton, Ontario
Bibliographic record
Abstract
This research attempts to understand how the alteration of green space to install new transportation infrastructure has impacted the daily life and psychosocial health of area residents. Psychosocial health refers to the distress, dysfunction and disability manifested in a range of psychological, social and behavioural outcomes as a consequence of actual or perceived environmental exposure. A case study was employed using the Red Hill Valley Parkway (RHVP) located in Hamilton, Ontario. To investigate this research problem, a mixed methods approach was utilized with self-administered surveys (N=216) and in-depth interviews (N=21) of residents living within 1000 metres of the RHVP to understand how the parkway has affected the everyday lives of those living in close proximity to the road. The findings do not address specific characteristics of respondents who are more likely to report concerns with the parkway, as well the study may not represent the general population; nonetheless the findings provide us some insight into the lives of those who identify concerns with the parkway and how these concerns have affected their daily life. The findings of this research indicate that concerns are linked to distance as the majority of residents who express concerns about the parkway live within 200 metres of the road. The results suggest that the presence of the Red Hill Valley Parkway and the increase in noise and vehicle exhaust has contributed to negative perceptions of the neighbourhood, has led to an increase in annoyance, activity and sleep disturbances, and impacted the quality of life of residents. Residents experienced a number of psychosocial symptoms relating to the parkway as they no longer are able to use their home or outdoor environment like they used to which was essential for general well-being and daily behaviour. The study concludes by providing recommendations to assist policy makers in eliminating and mitigating such impacts, as well as outlining future studies which should focus on the long-term effects of exposure to transportation infrastructure and traffic on psychosocial health and wellbeing.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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 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".