Evidence map›Paper›PMID 36429588›Full record

ArticleInternational journal of environmental research and public health2022

Effects of Soundscape Complexity on Urban Noise Annoyance Ratings: A Large-Scale Online Listening Experiment.

Andrew Mitchell, Mercede Erfanian, Christopher Soelistyo, Tin Oberman, Jian Kang, Robert Aldridge, Jing-Hao Xue, Francesco Aletta

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Andrew MitchellInstitute for Environmental Design and Engineering, The Bartlett, University College London, London WC1H 0NN, UK.ORCID 0000-0003-0978-5046
Mercede ErfanianInstitute for Environmental Design and Engineering, The Bartlett, University College London, London WC1H 0NN, UK.ORCID 0000-0001-9253-4162
Christopher SoelistyoInstitute for the Physics of Living Systems, University College London, London WC1E 6BT, UK.
Tin ObermanInstitute for Environmental Design and Engineering, The Bartlett, University College London, London WC1H 0NN, UK.ORCID 0000-0002-0014-0383
Jian KangInstitute for Environmental Design and Engineering, The Bartlett, University College London, London WC1H 0NN, UK.ORCID 0000-0001-8995-5636
Robert AldridgeInstitute of Health Informatics, University College London, London NW1 2DA, UK.ORCID 0000-0003-0542-0816
Jing-Hao XueDepartment of Statistical Science, University College London, London W1T 7PJ, UK.
Francesco AlettaInstitute for Environmental Design and Engineering, The Bartlett, University College London, London WC1H 0NN, UK.ORCID 0000-0003-0351-3189

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Noise annoyance has been often reported as one of the main adverse effects of noise exposure on human health, and there is consensus that it relates to several factors going beyond the mere energy content of the signal. Research has historically focused on a limited set of sound sources (e.g., transport and industrial noise); only more recently is attention being given to more holistic aspects of urban acoustic environments and the role they play in the noise annoyance perceptual construct. This is the main approach promoted in soundscape studies, looking at both wanted and unwanted sounds. In this study, three specific aspects were investigated, namely: (1) the effect of different sound sources combinations, (2) the number of sound sources present in the soundscape, and (3) the presence of individual sound source, on noise annoyance perception. For this purpose, a large-scale online experiment was carried out with 1.2k+ participants, using 2.8k+ audio recordings of complex urban acoustic environments to investigate how they would influence the perceived noise annoyance. Results showed that: (1) the combinations of different sound sources were not important, compared, instead, to the number of sound sources identified in the soundscape recording (regardless of sound sources type); (2) the annoyance ratings expressed a minimum when any two clearly distinguishable sound sources were present in a given urban soundscape; and (3) the presence (either in isolation or combination) of traffic-related sound sources increases noise annoyance, while the presence (either in isolation or combination) of nature-related sound sources decreases noise annoyance.

Indexed as

Auditory PerceptionNoiseAcousticsHumansIndustrySoundnoise annoyancesound perceptionsoundscapesound source recognitionurban environments

Identifiers

PMID36429588
PMCPMC9690752

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.