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Remote work: Aircraft noise implications, prediction, and management in the built environment.
Ang, Linus Yinn Leng; Cui, Fangsen.
  • Ang LYL; Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (ASTAR), Singapore 138632, Singapore.
  • Cui F; Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (ASTAR), Singapore 138632, Singapore.
Appl Acoust ; 198: 108978, 2022 Sep.
Article in English | MEDLINE | ID: covidwho-1996008
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.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Appl Acoust Year: 2022 Document Type: Article Affiliation country: J.apacoust.2022.108978

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Appl Acoust Year: 2022 Document Type: Article Affiliation country: J.apacoust.2022.108978