Transactions of the Korean Society for Noise and Vibration Engineering (한국소음진동공학회논문집)

The Korean Society for Noise and Vibration Engineering (한국소음진동공학회)
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Railway Noise Exposure-response Model based on Predicted Noise Level and Survey Results

예측소음도와 설문결과를 이용한 철도소음 노출-반응 모델

  • 손진희 (서울시립대학교 에너지환경시스템공학과) ;
  • 이건 (서울시립대학교 도시사회학과) ;
  • 장서일 (서울시립대학교 환경공학부)
  • Received : 2011.01.12
  • Accepted : 2011.04.04
  • Published : 2011.05.20
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Abstract

The suggested method of previous Son's study dichotomized subjective response data to modeling noise exposure-response. The method used maximum liklihood estimation instead of least square estimation and the noise exposure-response curve of the study was logistic regression analysis result. The method was originated to modeling community response rate such as %HA or %A. It can be useful when the subjective response was investigated based on predicted noise level. It is difficult to measure the single source emitting noise such as railway because various traffic noise sources combined in our life. The suggested method was adopted to model in this study and railway noise-exposure response curves were modeled because the noise level of this area was predicted data. The data of this study was used by previous Ko's paper but he dealt the area as combined noise area and divided the data by dominant noise source. But this study used all data of this area because the annoyance response to railway noise was higher than other noise according to the result of correlation analysis. The trend of the %HA and %A prediction model to train noise of this study is almost same as the model based on measured noise of previous Lim's study although the investigated areas and methods were different.

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References

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