Evidence map›Paper›PMID 36034578›Full record

ReviewApplied acoustics. Acoustique applique. Angewandte Akustik2022

Remote work: Aircraft noise implications, prediction, and management in the built environment.

Linus Yinn Leng Ang, Fangsen Cui

Abstract readReview
In one paragraph

Review in Applied acoustics. Acoustique applique. Angewandte Akustik, 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

2 authors.

Linus Yinn Leng AngInstitute of High Performance Computing (IHPC), Agency for Science, Technology and Research (ASTAR), Singapore 138632, Singapore.
Fangsen CuiInstitute of High Performance Computing (IHPC), Agency for Science, Technology and Research (ASTAR), Singapore 138632, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has greatly changed workplace management. Most workplaces have adopted the work-from-home policy to minimize the risk of community spread. Consequently, housing estates remain largely occupied during office hours. Since some housing estates are situated in the vicinity of an airport, noise pollution resulted from the takeoff and landing of aircraft is now more noticed by residents, causing annoyance. This problem would be most acute for those located directly under the flight path. Before the pandemic, such aircraft operations had lower effect on the residents because most of them were not at home but at workplaces. Evidently, it is timely that more emphasis should now be placed during urban planning to predict and minimize aircraft noise in the built environment. This article first defines the aircraft noise metrics commonly used to assess environmental impact. Preceded by an overview of how aircraft noise affects the built environment, this article reviews how various aircraft noise prediction models have been used in urban planning. Lastly, this article reviews how aircraft noise can be managed for better acoustic comfort of the residents. Anticipating the adoption of hybrid work arrangement moving forward, this article aims to provide urban planning professionals with an avenue to understand how aircraft noise can negatively affect the built environment, which, in turn, justify why prediction and management of aircraft noise should be emphasized from the outset of urban planning.

Indexed as

AEDT, Aviation Environmental Design ToolAircraft noiseANC, Active Noise ControlANP, Aircraft Noise and PerformanceBADA, Base of Aircraft DataCAA, Civil Aviation AuthorityCNEL, Community Noise Equivalent LevelDLR, German Aerospace CenterECAC, European Civil Aviation ConferenceEnvironmental noiseFAA, Federal Aviation AdministrationICAO, International Civil Aviation OrganizationINM, Integrated Noise ModelLAE, A-Weighted Sound Exposure LevelLAmax, Maximum A-Weighted Noise LevelLden, Day-Evening-Night Noise LevelLdn, Day-Night Noise LevelNASA, National Aeronautics and Space AdministrationNDI, Noise Depreciation IndexNoise mappingRemote workSEL, Sound Exposure LevelUrban planningWECPNL, Weighted Equivalent Continuous Perceived Noise LevelWHO, World Health Organization

Identifiers

PMID36034578
PMCPMC9398462

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.