Measuring Community Response to Noise—Factors Affecting the Results of Annoyance Surveys
Bibliographic Data
| ID | 15501105 |
|---|---|
| Authors | Truls Gjestland (0000-0002-1079-9640, SINTEF, corresponding author) |
| Year | 2024 |
| Volume | 21 |
| Issue | 4 |
| Pages | 420-420 |
| Publication date | 2024-03-29 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph21040420 |
| PMID | 38673331 |
| OpenAlex | W4393357577 |
| Language | EN |
| References cited | 19 |
Social surveys are conducted to determine how annoyed people are in a certain noise situation. The results are typically presented as exposure-response curves showing the percentage of the area population that are highly annoyed as a function of the noise exposure level. It is a well-known fact that the survey results are not only dependent on the accumulated noise exposure, DNL, DENL, or similar, but also on various other factors such as maximum levels, exposure patterns, noise spectra, etc. A re-analysis of previously reported surveys shows that the results are also, to a large extent, dependent on survey-specific factors like the wording of the annoyance questions, how the questionnaires are presented, response scales, methods of scoring highly annoyed, etc. This paper discusses and quantifies the influence of such factors and suggests ways of comparing results from surveys that have been conducted according to different protocols and different analysis methods
Acoustics · Annoyance · Audiology · Geography · Loudness · Noise (video · Noise exposure · Physics · Statistics · Acoustic Wave Phenomena Research · Computer Science · Hearing Loss and Rehabilitation · Mathematics · Medicine · Noise Effects and Management · Psychology · Artificial Intelligence
| Highly cited | No |
|---|