TY - GEN
T1 - Developing a multivariate model to predict the perception of residents' perceived noise annoyance through high-rise building windows
AU - Chau, Chi Kwan
AU - Chung, Wai Kit
AU - Masullo, Massimilano
AU - Pascale, Aniello
N1 - Funding Information:
The authors would like to thank the Research Grant Council in Hong Kong for the funding support through the General Research Grant No: 15208619.
Publisher Copyright:
© Proceedings of 2020 International Congress on Noise Control Engineering, INTER-NOISE 2020. All rights reserved.
PY - 2020/8/23
Y1 - 2020/8/23
N2 - This paper studies the effects of neighborhood views of densely packed high-rises on annoyance induced by road traffic noise. Earlier studies have found that views containing close-by buildings would negatively affect noise annoyance. However, there is limited understanding about the extent to which views constrained by closely spaced buildings at close proximity affect noise annoyance. Few studies explored the potential of vertical greening and façade appearance in attenuating noise annoyance responses. A multivariate model was formulated to predict the probability of evoking noise annoyance when exposed to views conditioned by space, façade and noise attributes. 50 participants were presented with 16 audio-visual composite scenarios through immersive virtual reality for noise annoyance ratings. The results showed that noise annoyance could be significantly lowered with reduced noise level, increased separation distance, the presence of vertical greening, and refurbishment on building façades. Participants were also found to have higher sensitivity to vertical greening than to the openness of view when perceiving noise-induced annoyance.
AB - This paper studies the effects of neighborhood views of densely packed high-rises on annoyance induced by road traffic noise. Earlier studies have found that views containing close-by buildings would negatively affect noise annoyance. However, there is limited understanding about the extent to which views constrained by closely spaced buildings at close proximity affect noise annoyance. Few studies explored the potential of vertical greening and façade appearance in attenuating noise annoyance responses. A multivariate model was formulated to predict the probability of evoking noise annoyance when exposed to views conditioned by space, façade and noise attributes. 50 participants were presented with 16 audio-visual composite scenarios through immersive virtual reality for noise annoyance ratings. The results showed that noise annoyance could be significantly lowered with reduced noise level, increased separation distance, the presence of vertical greening, and refurbishment on building façades. Participants were also found to have higher sensitivity to vertical greening than to the openness of view when perceiving noise-induced annoyance.
UR - http://www.scopus.com/inward/record.url?scp=85101403806&partnerID=8YFLogxK
M3 - Conference article published in proceeding or book
AN - SCOPUS:85101403806
T3 - Proceedings of 2020 International Congress on Noise Control Engineering, INTER-NOISE 2020
BT - Proceedings of 2020 International Congress on Noise Control Engineering, INTER-NOISE 2020
A2 - Jeon, Jin Yong
PB - Korean Society of Noise and Vibration Engineering
T2 - 49th International Congress and Exposition on Noise Control Engineering, INTER-NOISE 2020
Y2 - 23 August 2020 through 26 August 2020
ER -