| Title |
Analysis of Spatial Clustering of Road Traffic Noise-Based Cardiovascular Health Impact by Noise Index |
| Authors |
김수비(Kim, Su-Bi) ; 김건희(Kim, Geon-Hee) ; 이병권(Lee, Byung-Kwon) ; 홍주영(Hong, Joo-Young) |
| DOI |
https://doi.org/10.5659/JAIK.2026.42.5.283 |
| Keywords |
Environmental Noise; Cardiovascular Health Impact Index; Spatial Autocorrelation; Hot Spot Analysis; Noise-Health Map |
| Abstract |
This study examines the spatial relationship between environmental noise exposure and cardiovascular health impacts in Daejeon, South Korea,
by developing a noise?health map and applying spatial statistical analyses. Noise exposure was quantified using the day-evening-night
equivalent sound level (Lden), while cardiovascular health impacts were assessed using a Cardiovascular Health Impact by Noise Index
(CHIN), which integrates noise-related disease risk and population distribution. Spatial distributions of noise level and CHIN-based noise?
health map were visualized and compared at the administrative-dong level using Global Moran's I and local spatial statistics (LISA and
Getis-Ord Gi*). Results show that both indicators exhibit statistically significant spatial clustering; however, hot-spots of noise exposure and
cardiovascular health impact did not spatially coincide. This indicates that areas with high noise levels are not necessarily those with the
greatest cardiovascular health burden, highlighting limitations of noise management strategies based solely on physical noise levels. The
findings demonstrate that CHIN-based noise?health mapping can serve as a complementary tool for health-oriented environmental noise
management policy. |