Performance of noise indices in air-conditioned landscaped office buildings

Tang, Shiu Keung

doi:10.1121/1.420077

Cited by 32 publications

(38 citation statements)

References 17 publications

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“…The sound pressure levels of the background noises were analyzed in terms of A-weighted equivalent sound pressure levels (L Aeq ). The measured noise levels of the offices varied from 47.0 dBA to 62.4 dBA and this result is consistent with the previous study (Tang, 1997) reporting that background noise levels for five-minute of 26 open plan offices ranged between 45 dB and 70 dB. The noise levels of the offices in China were greater than the levels of the offices in Korea, and this is mainly because the noise levels from the air conditioning system in China were greater than those in Korea.…”

Section: Offices and Participantssupporting

confidence: 81%

Impact of noise on self-rated job satisfaction and health in open-plan offices: a structural equation modelling approach

Lee

Jeon

et al. 2015

Ergonomics

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This study uses a structural equation model to examine the effects of noise on self-rated job satisfaction and health in open-plan offices. A total of 334 employees from six open-plan offices in China and Korea completed a questionnaire survey. The questionnaire included questions assessing noise disturbances and speech privacy, as well as job satisfaction and health. The results indicated that noise disturbance affected self-rated health. Contrary to popular expectation, the relationship between noise disturbance and job satisfaction was not significant. Rather, job satisfaction and satisfaction with the environment were negatively correlated with lack of speech privacy. Speech privacy was found to be affected by noise sensitivity, and longer noise exposure led to decreased job satisfaction. There was also evidence that speech privacy was a stronger predictor of satisfaction with environment and job satisfaction for participants with high noise sensitivity.In addition, fit models for employees from China and Korea showed slight differences.Practitioner Summary: This study is motivated by strong evidence that noise is the key source of complaints in open-plan offices. Survey results indicate self-rated job satisfaction of workers in open-plan offices was negatively affected by lack of speech privacy and duration of disturbing noise.

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Section: Offices and Participantssupporting

confidence: 81%

Impact of noise on self-rated job satisfaction and health in open-plan offices: a structural equation modelling approach

Lee

Jeon

et al. 2015

Ergonomics

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“…Tang (1997) found that the less commonly used Zwicker's loudness level performs better than the commonly adopted NC curves (Beranek, 1989) when predicting the noise perceptions of office workers in air-conditioned landscaped offices. Berglund et al (2002) used Zwicker's loudness scale to investigate annoyance levels due to environmental noises.…”

Section: B Zwicker's Loudnessmentioning

confidence: 99%

“…3. A comparative cumulative frequency of the levels of LAeq at each 15-min interval over the daytime (9)(10)(11)(12)(13)(14)(15)(16)(17) and the nighttime (17)(18)(19)(20)(21)(22)(23)(24) in the 16 surveyed hospital lobbies.…”

Section: Noise Measurementsmentioning

confidence: 99%

Characterizing Subjective Noisiness in Hospital Lobbies

Chen¹

2015

Archives of Acoustics

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The present study was conducted in the lobbies of 16 Taiwanese urban hospitals to establish what contributes to the degree of noisiness experienced by patients and those accompanying them. Noise level measurements were then conducted by 15 min equivalent sound pressure levels (LAeq, 15 m, dB) during daytime hours. The average LAeq itself was found to be poorly related to perceived noisiness. Levels variations were better correlated, more continual noise may actually be perceived as noisier. According to the findings of a multiple linear stepwise regression model (r = 0.91, R 2 = 0.83), the 3 independent variables shown to have the largest effects on perceived noisiness were 1) 1/(L5 −L95), 2) effective duration of the normalized autocorrelation function (τe, h), of all LAeq, 15 m over 9-17, and 3) percentile loudness, N5, 15 m. These results resemble previous studies that had assumed that a larger fluctuation of noise level corresponds to less annoyance experienced for mixed traffic noise studied in a laboratory situation. As an advanced approach, for hospital noise that consisted of 12 audible noise events, subjective noisiness were evaluated by the noise time structure analyzed by autocorrelation with loudness and levels variation.

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“…22,23 The studies by Tang et al also found L Aeq to be generally well correlated with subjective auditory sensation, with other metrics performing well in certain circumstances. [18][19][20][21] Tang and Wang noted that many of their measured spectra contained some degree of tonality, but a detailed investigation of such was not the focus of their work. 21 Despite these previous studies generally supporting L Aeq , other studies have demonstrated limitations in the metric.…”

Section: Previous Researchmentioning

confidence: 99%

“…[17][18][19][20][21][22][23][24] Ayr et al examined the effectiveness of several criteria methodologies using questionnaires and in situ office a͒ Present address: Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0405. Electronic mail: eryherd@hotmail.com noise measurements.…”

Section: Previous Researchmentioning

confidence: 99%

Implications of human performance and perception under tonal noise conditions on indoor noise criteria

Ryherd

Wang

2008

The Journal of the Acoustical Society of America

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This research investigated differences in task performance and perception under six non-time-varying ventilation-type background noise spectra with differing tonality. The results were related to five indoor noise criteria systems: noise criteria, balanced noise criteria, room criteria, room criteria mark II, and the A-weighted equivalent sound pressure level ͑L Aeq ͒. These criteria systems are commonly used in the U.S. building industry, but concerns exist over whether they are appropriate for all noise situations. Thirty test subjects completed three types of performance tasks ͑typing, reasoning, and math͒ and answered questions about their perception of the indoor environment under each noise condition. Results showed that performance scores did not change significantly across the six noise conditions, but there were differences in subjective perception. For example, perception trends for tonality, annoyance, and distraction changed based on the frequency and prominence of discrete tones in noise. However, these perceptual changes were not fully reflected in the criteria level or spectral quality ratings. Additionally, task performance was related to subjective perception but not to criteria level predictions. As a result, the authors suggest that the current criteria should be modified to account for the frequency and prominence of tones in background noise.

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Performance of noise indices in air-conditioned landscaped office buildings

Cited by 32 publications

References 17 publications

Impact of noise on self-rated job satisfaction and health in open-plan offices: a structural equation modelling approach

Impact of noise on self-rated job satisfaction and health in open-plan offices: a structural equation modelling approach

Characterizing Subjective Noisiness in Hospital Lobbies

Implications of human performance and perception under tonal noise conditions on indoor noise criteria

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