A Survey of Factors That Impact Noise Exposure And Acoustic Comfort in Multi-Unit Residential Buildings
Bibliographic record
Abstract
There is limited research on noise exposure in multi-unit residential buildings (MURBs) despite the proven effects of noise on people’s physical and psychological health. This motivates the current study which aims to identify important noise sources in MURBs and investigate factors that impact acoustic comfort as well as determine the various impacts of noise on occupants. A survey was administered to collect subjective assessments of noise exposure and the effects of noise from 213 occupants. The findings show that building age, floor level, proximity to ongoing construction, existence of balcony, number of bedrooms, proximity to elevators and garbage chute are important building-related factors that impact noise annoyance. The results also show that personal and demographic factors, such as occupants’ age, length of residency, ownership status, relationship with neighbors, and willingness to pay for better acoustic conditions, significantly affect subjective responses. Even though both indoor and outdoor noises cause annoyance, outdoor noises, especially noise from traffic, construction and neighborhood activities, cause more annoyance and sleep disturbance compared to indoor noise sources. The findings also show some noise mitigating actions can have negative effects on indoor air quality and building energy consumption, as well as worsen the overall acoustic condition in buildings.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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".