House size or walkability, what makes you more satisfied? Understanding the relationship between housing characteristics, local accessibility, and life satisfaction during the COVID-19 confinement period
Bibliographic record
Abstract
The travel and activity restrictions related to COVID-19 dramatically changed the lives of Canadians, with important implications for well-being.This study analyzes the impacts of housing characteristics, local accessibility, and quality of active transport infrastructure on individuals' life satisfaction during the lockdown.Data was collected through a Canada-wide online survey fielded in November 2020 (n=618), during the second wave of the pandemic.The survey captured information on travel behavior and activities during lockdown and perceptions of neighborhood characteristics, together with self-reported life satisfaction and housing characteristics.An exploratory data analysis followed by an ordered logistic regression was performed to assess the determinants of life satisfaction during lockdown.Findings reveal that access to a private yard as well as park space and sidewalks which are wide enough to maintain social distancing were key determinants of life satisfaction, whereas dwelling size was not.Building on previous research on life satisfaction and travel behavior, this study highlights the benefits of providing high-quality neighborhood and transport infrastructure, as well as access to nearby outdoor spaces, specifically for those without access to a private yard.The findings are of relevance to support resilient cities that better meet the needs of all individuals.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".