TY - GEN
T1 - A study on annoyance response using path analysis and structure equation model in combined noise area
AU - Park, Taeho
AU - Ryu, Hunjae
AU - Oh, Seunghwan
AU - Han, Jongwon
AU - Chang, Seoil
PY - 2011
Y1 - 2011
N2 - This study found out what variables affect noise-annoyance response in combined noise (railway noise and road traffic noise) effect area. Study area be focused on Seoul Metropolitan Subway line 1(Singil station - Sindorim station) in whole Yeongdeungpo-gu, Korea. Multiple regression analysis shows that railway noise is the most influence variable to annoyance response in combined noise area and railway noise dominant area. Road traffic noise is the most influence factor in road traffic noise dominant area. In addition, the longer residential time, the lower annoyance response. It's possible to adapt by noise. Dissatisfaction of environment and noise sensitivity are influence factor among attitudinal variables. Path analysis shows that total annoyance is influenced by railway noise. Dissatisfaction of environment and noise sensitivity have positive effect factor in attitudinal factor. But, road traffic noise has negative effect in combined noise area and road traffic noise dominant area. In structure equation model, noise disturbance, attitude toward road traffic, and attitude toward railway are defined latent variable on survey design. Noise disturbance and Attitude toward road traffic are most influence factor. But railway noise is not. It's different from multiple regression analysis and path analysis results.
AB - This study found out what variables affect noise-annoyance response in combined noise (railway noise and road traffic noise) effect area. Study area be focused on Seoul Metropolitan Subway line 1(Singil station - Sindorim station) in whole Yeongdeungpo-gu, Korea. Multiple regression analysis shows that railway noise is the most influence variable to annoyance response in combined noise area and railway noise dominant area. Road traffic noise is the most influence factor in road traffic noise dominant area. In addition, the longer residential time, the lower annoyance response. It's possible to adapt by noise. Dissatisfaction of environment and noise sensitivity are influence factor among attitudinal variables. Path analysis shows that total annoyance is influenced by railway noise. Dissatisfaction of environment and noise sensitivity have positive effect factor in attitudinal factor. But, road traffic noise has negative effect in combined noise area and road traffic noise dominant area. In structure equation model, noise disturbance, attitude toward road traffic, and attitude toward railway are defined latent variable on survey design. Noise disturbance and Attitude toward road traffic are most influence factor. But railway noise is not. It's different from multiple regression analysis and path analysis results.
KW - Annoyance
KW - Combined noise
KW - Path analysis
KW - Structure equation model
UR - http://www.scopus.com/inward/record.url?scp=84867952536&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84867952536
SN - 9781618392800
T3 - 40th International Congress and Exposition on Noise Control Engineering 2011, INTER-NOISE 2011
SP - 4113
EP - 4118
BT - 40th International Congress and Exposition on Noise Control Engineering 2011, INTER-NOISE 2011
T2 - 40th International Congress and Exposition on Noise Control Engineering 2011, INTER-NOISE 2011
Y2 - 4 September 2011 through 7 September 2011
ER -