An Assessment of Thermal Comfort and Users’ Perceptions of Landscape Gardens in a High-Rise Office Building
Bibliographic record
Abstract
There is a great need to reduce energy consumption in high-rise office buildings due to escalating environmental problems such as Urban Heat Island effect and global warming. The creation of landscape spaces in high-rise buildings today is not only for reducing building heat but to provide views and psychological get-away spaces for its occupants. This paper focuses on thermal comfort and users’ perception of three different landscape gardens in a 21-storey high-rise office building in Penang, Malaysia. The four parameters of thermal comfort that were measured are: air temperature, wind velocity, humidity, and solar radiation. In addition, a questionnaire survey was conducted to evaluate occupants’ perceptions of comfort, use of the garden space and landscape preference. The findings from the field measurement reveal significant differences in all four thermal comfort parameters measured in the three landscape gardens. However, users only perceived lighting and wind velocity to be different.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".