TY - JOUR
T1 - Model development for traffic noise annoyance prediction
AU - Ascigil-Dincer, Mine
AU - Yilmaz Demirkale, Sevtap
N1 - Publisher Copyright:
© 2021 Elsevier Ltd
PY - 2021/6
Y1 - 2021/6
N2 - The main purpose of Environmental Noise Directive (2002/49/EC) and noise control studies over the world is to reduce noise annoyance, however, the implementation is focused on reducing solely noise levels. Dose-effect relationships provided by European Commission, linking noise indicators to annoyance levels, are only portraying the situation in several countries. In dose–effect relationships, social, psychological or economic factors, are far more important than acoustic or physical factors. Moreover, many studies have shown that the indicators used do not reflect many aspects of annoyance. A more efficient and accurate way to determine annoyance might be to eliminate noise indicators and to create local models which use all the information collected for noise mapping as input, and provide annoyance levels as a direct output. To that end, this study is presents an approach for developing road traffic noise annoyance prediction models, which can be used by local authorities, taking into account social aspects, characteristics of traffic and urban development. These models would also provide cost effective action plans, because they help to understand the factors which directly affect annoyance levels. In this study, the methodology of this approach is explained and an implementation in Istanbul, Turkey is presented.
AB - The main purpose of Environmental Noise Directive (2002/49/EC) and noise control studies over the world is to reduce noise annoyance, however, the implementation is focused on reducing solely noise levels. Dose-effect relationships provided by European Commission, linking noise indicators to annoyance levels, are only portraying the situation in several countries. In dose–effect relationships, social, psychological or economic factors, are far more important than acoustic or physical factors. Moreover, many studies have shown that the indicators used do not reflect many aspects of annoyance. A more efficient and accurate way to determine annoyance might be to eliminate noise indicators and to create local models which use all the information collected for noise mapping as input, and provide annoyance levels as a direct output. To that end, this study is presents an approach for developing road traffic noise annoyance prediction models, which can be used by local authorities, taking into account social aspects, characteristics of traffic and urban development. These models would also provide cost effective action plans, because they help to understand the factors which directly affect annoyance levels. In this study, the methodology of this approach is explained and an implementation in Istanbul, Turkey is presented.
KW - Dose-effect relationship
KW - Environmental noise
KW - Noise annoyance
KW - Road traffic
UR - http://www.scopus.com/inward/record.url?scp=85099792158&partnerID=8YFLogxK
U2 - 10.1016/j.apacoust.2021.107909
DO - 10.1016/j.apacoust.2021.107909
M3 - Article
AN - SCOPUS:85099792158
SN - 0003-682X
VL - 177
JO - Applied Acoustics
JF - Applied Acoustics
M1 - 107909
ER -