Application Method of Logistic Regression Analysis for Annoyance Prediction Model Based on Predicted Noise Level

예측소음도를 이용한 어노이언스 예측모델을 위한 로지스틱 회귀분석의 적용방법

  • 손진희 (서울시립대학교 환경공학과) ;
  • 이건 (서울시립대학교 도시사회학과) ;
  • 정태량 (한국환경정책평가연구원) ;
  • 장서일 (서울시립대학교 환경공학부)
  • Received : 2010.03.31
  • Accepted : 2010.05.10
  • Published : 2010.06.20


Predicted noise level has been used to assess the annoyance response since noise map was generalized and being the normal method to assess the environmental noise. Unfortunately using predicted noise level to derive the annoyance prediction curve caused some problems. The data have to be grouped manually to use the annoyance prediction curve. The aim of this paper is to propose the method to handle the predicted noise level and the survey data for annoyance prediction curve. This paper used the percentage of persons annoyed(%A) and the percentage of persons highly annoyed as the descriptor of noise annoyance in a population. The logistic regression method was used for deriving annoyance prediction curve. It is concluded that the method of dichotomizing data and logistic regression was suitable to handle the predicted noise level and survey data.


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