TY - GEN
T1 - Statiatical modeling of relationships among road traffic noise, air quality and Urban form Indicators
AU - Ryu, Hunjae
AU - Park, Taeho
AU - Kim, Phillip
AU - Chang, Seo Il
AU - Park, In Kwon
PY - 2016
Y1 - 2016
N2 - Recently, in urban areas, continuous monitoring and scientific management of environmental noise and air quality are considered more important for people's health impact and well-being. Especially, the road traffic which is one of major urban form indicators such as population, building, transportation, land-use, and etc. is the common emission source of urban noise and air pollution. Therefore for more efficient city planning it is necessary to figure out air- and noise-combined relationship because the road traffic and other urban form indicators are interrelated. The purpose of this study is to investigate the relationships among road traffic noise, air quality and urban form indicators. First, using GIS and LiDAR data, the noise level and the concentration of PM2.5 exposed to residents are calculated. Second, the representative values of the noise level, concentration of PM2.5 and urban form indicators are averaged over grid cells of 200 m × 200 m for the study area. And then, the relationships among noise, air quality and urban form indicators are statistically estimated by spatial statistical model. This well-estimated model could make it possible to design integrated and systematic planning.
AB - Recently, in urban areas, continuous monitoring and scientific management of environmental noise and air quality are considered more important for people's health impact and well-being. Especially, the road traffic which is one of major urban form indicators such as population, building, transportation, land-use, and etc. is the common emission source of urban noise and air pollution. Therefore for more efficient city planning it is necessary to figure out air- and noise-combined relationship because the road traffic and other urban form indicators are interrelated. The purpose of this study is to investigate the relationships among road traffic noise, air quality and urban form indicators. First, using GIS and LiDAR data, the noise level and the concentration of PM2.5 exposed to residents are calculated. Second, the representative values of the noise level, concentration of PM2.5 and urban form indicators are averaged over grid cells of 200 m × 200 m for the study area. And then, the relationships among noise, air quality and urban form indicators are statistically estimated by spatial statistical model. This well-estimated model could make it possible to design integrated and systematic planning.
UR - http://www.scopus.com/inward/record.url?scp=84987927077&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84987927077
T3 - ICSV 2016 - 23rd International Congress on Sound and Vibration: From Ancient to Modern Acoustics
BT - ICSV 2016 - 23rd International Congress on Sound and Vibration
PB - International Institute of Acoustics and Vibrations
T2 - 23rd International Congress on Sound and Vibration, ICSV 2016
Y2 - 10 July 2016 through 14 July 2016
ER -
