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Annoyance modeling using personal and situational variables for construction site noise in urban areas

机译：令人烦恼的建模在城市地区建筑工地噪声的个人和情境变量

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Construction site noise is the most significant cause of noise disputes in South Korea. We conducted an annoyance evaluation to produce annoyance prediction models for four kinds of construction noise that cause the most complaints, namely construction machinery noise from pile drivers, excavators, and concrete pumping vehicles and noise from concrete mold removal working. We adjusted these four noises recorded at construction sites to noise stimuli with 35-80 dB(A), and subjects evaluated annoyance with a score for these stimuli. Participants in the experiment listened to one or two noises at the same time and evaluated their annoyance. We created multiple linear regression models and logistic regression models for annoyance scores of the subjects using acoustic features of noise stimuli and personal and situational variables. Acoustic features included traditional indicators such as L-eq, L-max, and sound quality indices. We calculated mean, maximum, and percentile values of sound quality indices such as loudness, sharpness, roughness, and fluctuation strength. The personal variables were results from a demographic survey and attitudes toward noise, while the situational variables were results from a survey on the living environment and past experiences about noise. Also, we considered the health condition and residence environment of the subjects. Using multiple linear regression, we confirmed that the acoustic features and personal and situational variables influence annoyance from construction noise. Also, we calculated the importance of each variable to the annoyance. Finally, to confirm that the percentage of highly annoyed persons (%HA) varies with personal and situational variables, we classified subjects in accordance with the variables and created a %HA curve for each group. From the result, we confirmed that there is a large difference in %HA in accordance with the health condition of the subjects. (C) 2021 Elsevier Ltd. All rights reserved.
机译：施工现场噪声是韩国最重要的噪音争议原因。我们对令人讨厌的评估进行了一种令人讨厌的评估，为造成最多投诉的四种建筑噪声产生令人烦恼的预测模型，即桩驾驶员，挖掘机和混凝土泵送车辆的建筑机械噪音以及混凝土模具去除工作的噪音。我们调整了在建筑工地记录的这四个噪音与35-80dB（a）的噪声刺激，受试者评估了这些刺激的分数。实验中的参与者同时听取了一两次噪音，并评估了他们的烦恼。我们为使用噪声刺激和个人和情境变量的声学特征创建了多个线性回归模型和逻辑回归模型，用于主体的烦恼分数。声学功能包括L-EQ，L-MAX和音质指标等传统指标。我们计算了声音质量指数的平均值，最大和百分位数，例如响度，清晰度，粗糙度和波动强度。个人变量是由人口调查和对噪声的态度产生的结果，而情境变量是由对生活环境的调查和关于噪声的经验的调查结果。此外，我们考虑了受试者的健康状况和居住环境。使用多个线性回归，我们证实了声学特征和个人和情境变量影响了施工噪音的烦恼。此外，我们计算了每个变量到烦恼的重要性。最后，确认高度恼火的人（％HA）的百分比随着个人和情境变量而变化，我们根据变量为主题进行分类，并为每个组创建％HA曲线。从结果来看，我们证实，根据受试者的健康状况，％HA差异很大。 （c）2021 elestvier有限公司保留所有权利。

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