Estimation of Populations Exposed to Road Traffic Noise in Districts of Seoul Metropolitan Area of Korea

Jaewon Lee, Jinhoi Gu, Hyunggyu Park, Heekyung Yun, Samsoo Kim, Wooseok Lee, Jinseok Han and Jun-Seok Cha
Additional contact information
Jaewon Lee: Environmental Infrastructure Research Department, National Institute of Environmental Research (NIER), 42 Hwankyeong-Ro, Seo-gu, Incheon 404-708, Korea
Jinhoi Gu: Environmental Infrastructure Research Department, National Institute of Environmental Research (NIER), 42 Hwankyeong-Ro, Seo-gu, Incheon 404-708, Korea
Hyunggyu Park: Environmental Infrastructure Research Department, National Institute of Environmental Research (NIER), 42 Hwankyeong-Ro, Seo-gu, Incheon 404-708, Korea
Heekyung Yun: Environmental Infrastructure Research Department, National Institute of Environmental Research (NIER), 42 Hwankyeong-Ro, Seo-gu, Incheon 404-708, Korea
Samsoo Kim: Environmental Infrastructure Research Department, National Institute of Environmental Research (NIER), 42 Hwankyeong-Ro, Seo-gu, Incheon 404-708, Korea
Wooseok Lee: Environmental Infrastructure Research Department, National Institute of Environmental Research (NIER), 42 Hwankyeong-Ro, Seo-gu, Incheon 404-708, Korea
Jinseok Han: Climate and Air Quality Research Department, National Institute of Environmental Research (NIER), 42 Hwankyeong-Ro, Seo-gu, Incheon 404-708, Korea
Jun-Seok Cha: Environmental Infrastructure Research Department, National Institute of Environmental Research (NIER), 42 Hwankyeong-Ro, Seo-gu, Incheon 404-708, Korea

IJERPH, 2014, vol. 11, issue 3, 1-12

Abstract: This study aims to model road traffic noise levels and estimate the human exposure at the 25 districts in the metropolitan Seoul, Republic of Korea. The SoundPLAN ® Version 7.1 software package was used to model noise levels and simulated road traffic noise maps were created. The people exposed to daytime/nighttime road traffic noise were also estimated. The proportions of the population exposed to road traffic noise in major cities in the EU were also estimated and compared. Eight (8) districts show the exceeded rate (percentage of the exposed population exceeding the daytime standard) of 20% or more, and eleven (11) districts show 10%-20% and six (6) districts show less than 10%, which indicates considerable variation among districts. Two districts (Nowon-gu and Yangcheon-gu) show the highest exposure rate during the daytime (35.2%). For nighttime noise levels, fourteen (14) districts show the exceeded rate (percentage of exposed population exceeding the nighttime standard) over 30%. The average percentages of the exposed population exceeding the daytime/nighttime standards in Seoul and the EU were 16.6%/34.8% and 13.0%/16.1%, respectively. The results show that road traffic noise reduction measures should urgently be taken for the nighttime traffic noise in Seoul. When the grid noise map and the 3-D façade noise map were compared, the 3-D façade noise map was more accurate in estimating exposed population in citywide noise mapping.

Keywords: road traffic noise; exposed population; noise map; Seoul metropolitan area (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2014
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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