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Perception of Noise Annoyance.

机译:噪声烦恼的感知。

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摘要

This thesis intends to: (i) study the inter-relationships among sound characteristics, people's characteristics, and the environment by formulating a multivariate stochastic model to predict noise annoyance; (ii) study the impact of a greenery view or a sea view nearby on the moderation of noise annoyance perception at home; (iii) evaluate the monetary benefits derived from reduced annoyance; (iv) formulate an annoyance model to portray the response to a mixed road traffic noise and human noise situation.;The findings derived from the multivariable stochastic models revealed that acoustical parameters, personal characteristics like age, education attainment, noise sensitivity and health conditions as well as the duration of time spent at homes all influence individuals' noise annoyance perception. The presence of several neighbourhood characteristics such as greenery and sea is able to lower the likelihood of inducing high noise annoyance. A sea view can moderate noise annoyance even though its effect is not as strong as a greenery view. Upon detailed examination, types and amount of greenery settings are shown to have different effects on moderating noise annoyance perception.;On the other hand, the willingness-to-pay (WTP) value for reduced annoyance is found to vary with the household income level and the annoyance rating reported by an individual for the existing dwelling. The WTP per dB reduction per household is found to be increased nonlinearly from HK;Under mixed noises situation, annoyance responses to 'single dominant' noise sources and 'no dominant' noise sources are found to be significantly different even under the same dB(A) level. Road traffic noise is found to be the dominant noise source in case the sound pressure level of the road traffic noise is higher than that of human noise by more than 6 dB(A).;Keywords: Noise annoyance; Ordered logit model; Discrete Choice Model; Nature; Willingness-to-pay; Mixed-noise.
机译:本文旨在:(i)通过建立多元随机模型来预测噪声的烦恼,研究声音特征,人的特征与环境之间的相互关系; (ii)研究附近绿化景色或海景对减轻家居中的噪音烦恼的影响; (iii)评估减少烦恼所带来的金钱利益; (iv)建立一个烦人模型来描述对混合交通噪声和人为噪声情况的反应;多变量随机模型得出的结果表明,声学参数,个人特征(如年龄,受教育程度,噪声敏感性和健康状况)为以及在家里呆的时间长短都会影响个人对噪音烦恼的感知。绿化和海洋等几种邻里特征的存在能够降低引起高噪声烦扰的可能性。海景可以减轻噪音的困扰,即使其效果不如绿化效果强。经过详细检查,绿化环境的类型和数量显示出对减轻噪声烦恼的感知有不同的影响;另一方面,减少烦恼的支付意愿(WTP)值随家庭收入水平而变化以及个人对现有住宅报告的烦恼等级。发现每个家庭的每dB降低的WTP相对于HK呈非线性增加;在混合噪声情况下,即使在相同dB(A)下,对``单一主导''噪声源和``非主导''噪声源的烦扰响应也存在显着差异)级别。如果道路交通噪声的声压级高于人类噪声的声压级超过6 dB(A),则发现道路交通噪声是主要的噪声源。有序logit模型;离散选择模型;性质;支付意愿;杂讯。

著录项

  • 作者

    Li, Hak Nang.;

  • 作者单位

    Hong Kong Polytechnic University (Hong Kong).;

  • 授予单位 Hong Kong Polytechnic University (Hong Kong).;
  • 学科 Engineering Environmental.
  • 学位 Ph.D.
  • 年度 2012
  • 页码 180 p.
  • 总页数 180
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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