Critical evaluation of ‘ageing in place’ in redeveloped public rental housing estates in Hong Kong
Bibliographic record
Abstract
Abstract The tremendous growth in the ageing population over the past two decades has compelled the Hong Kong government to reformulate its housing policy by redeveloping and incorporating certain age-friendly housing design elements and facilities into the public housing schemes built in the post-war period. This research investigates whether these introduced design elements and facilities satisfy the numerous special needs of the seniors in line with the concept of ‘ageing in place’. Data were collected from 224 seniors through a comprehensive questionnaire survey in four large-scale redeveloped public rental housing estates. Using three designated built environment dimensions, namely micro, meso and macro, the results revealed that senior tenants were generally satisfied with the present living environments (in all the three scales) in the estates. At the micro-scale, seniors were satisfied with the level of privacy and sense of autonomy derived from the present design features in their homes. For the meso-scale, the study revealed that the seniors were particularly satisfied with the design elements such as convenient transportation and accessibility, including convenient walkways. At the macro-scale, the community care service is deemed important for seniors’ wellbeing. However, more attention is needed on safety measures in interior and shower areas, public seating in common areas and provision of sufficient community care services. This study provides insights for policy makers and development authorities on elderly housing provision.
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| 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".