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고준희(Ko, Joon-Hee),장서일(Chang, Seo-Il),손진희(Son, Jin-Hee),이건(Lee, Kun) 한국소음진동공학회 2010 한국소음진동공학회 논문집 Vol.20 No.2
The multiple regression analysis and path analysis in each dominant area of noise source are conducted to analyze the relationship between dependent variables like annoyance and independent ones such as noise and non-noise factors. The multiple regression analysis shows that impact of noise factors is the highest to annoyance in dominant areas of road traffic and railway noise. Meanwhile, impact of non-noise factors such as sensitivity and satisfaction of environment on annoyance is also high in these areas. The path analysis result for multivariate analysis between various independent and dependent variables is similar to that of the multiple regression analysis. However, noise factor is the greatest factor influent on annoyance in the dominant areas of the combined noise, and relationship between annoyance and sensitivity is the highest in combined area exposed to road traffic noise and railway noise.
복합 소음 지역의 3차원 소음지도와 설문조사를 이용한 철도소음 정량평가에 관한 연구
고준희(KO JOON HEE),장서일(CHANG SEO IL) 한국철도학회 2009 한국철도학회 학술발표대회논문집 Vol.2009 No.11월
This paper studies to establish the quantitative assessment model for railway noise in combined noise sources area using the three-dimensional noise map and field survey. The three-dimensional noise map is used to calculate the noise level in each building and the field survey is performed to investigate annoyance response and non-noise factors. The three-dimensional city spatial model of noise map is obtained from city spatial information, which consists of digital elevation model and three-dimensional building ones, for finding the distribution of transportation noise in urban areas. The field survey is conducted to investigate the annoyance response of 693 households affected by combined noise. Annoyance prediction models in three dominant areas of noise are made by the relationship between annoyance response rate and transportation noise level for the quantitative assessment to environmental noise standard of the combined noise. In this study, annoyance response rate to transportation noise level is compared to those by previous researches in European countries.
고준희(Ko, Joon-Hee),이병찬(Lee, Byung-Chan),임재석(Lim, Jae-Serk),박수진(Park, Su-Jin),장서일(Chang, Seo-Il) 한국소음진동공학회 2009 한국소음진동공학회 논문집 Vol.19 No.10
Using GIS data of C-si as basic data when making noise map of road traffic, we estimated exactly the noise excess areas and consequently suggested the population and the area exposed to road traffic noise accurately. We made 3D noise map to assess regional distribution of noise quantitatively. The noise map consists of noise prediction model based on data base such as traffic volume and speed changes for estimating quantitatively the noise and 3D urban space model which includes locations of noise sources, 3D buildings, topography and roads. We made noise standard map according to land use conditions and compared this map to road traffic noise map, and consequently made excess noise map. Using excess noise map, we assessed areas which exceed environmental noise level standards and noise guidelines quantitatively and effectively through GIS spatial analysis, and consequently more accurate noise exposed area and noise exposed population could be estimated. To show buildings' outer walls noise exposure, we analyzed 3D urban noise distributions using 3D-analysis of GIS.