Document Detail

Investigation of road-traffic noise and annoyance in Beijing: a cross-sectional study of 4th Ring Road.
MedLine Citation:
PMID:  18479995     Owner:  NLM     Status:  MEDLINE    
The authors aimed to evaluate traffic noise level and noise annoyance in Beijing and the impact of the noise on the quality of life of the residences. The authors performed a cross-sectional study in a 12-floor college dormitory near 4th Ring Road in Beijing, China. The north-side rooms of the building were noisy and had windows facing the road. The authors measured both indoor and outdoor noise. Using both a 5-item verbal scale and a 0-10 numerical scale, they questioned a sample of 1,293 college students living in the dormitory about road-traffic noise annoyance. The results showed that the average outdoor day-to-night noise level was 79.2 dB(A) in the noisy rooms and 64.0 dB(A) in the quiet rooms. Nearly 39% of the respondents living in the noisy rooms indicated that they were highly annoyed by traffic noise according to the response on the verbal scale, and 50% of the respondents living in the noisy rooms were highly annoyed according to the numerical scale.
Hui-Juan Li; Wen-Bo Yu; Jing-Qiao Lu; Lin Zeng; Nan Li; Yi-Ming Zhao
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Archives of environmental & occupational health     Volume:  63     ISSN:  1933-8244     ISO Abbreviation:  Arch Environ Occup Health     Publication Date:  2008  
Date Detail:
Created Date:  2008-05-15     Completed Date:  2008-07-01     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101282564     Medline TA:  Arch Environ Occup Health     Country:  United States    
Other Details:
Languages:  eng     Pagination:  27-33     Citation Subset:  AIM; IM    
Research Center of Clinical Epidemiology and the Research Center of Occupational Medicine, Peking University Third Hospital, Beijing, People's Republic of China.
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MeSH Terms
Cross-Sectional Studies
Housing / statistics & numerical data*
Noise, Transportation / statistics & numerical data*

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