Construction Noise Management Using Active Noise Control Techniques

Kwon, Nahyun; Park, Moonseo; Lee, Hyunsoo; Ahn, Joo‐Myung; Shin, Mingyu

doi:10.1061/(asce)co.1943-7862.0001121

Cited by 61 publications

(33 citation statements)

References 24 publications

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“…The acquired cases are suitable for CBR-based prediction during the preconstruction phase because they include various data regarding the projects performed by various construction companies [5,37]. The collected cases are comprehensively analyzed and filtered because erroneous data or omitted information can influence similar case retrieval and decrease the reliability of the output.…”

Section: Establishment Of the Case-basementioning

confidence: 99%

“…The collected cases are comprehensively analyzed and filtered because erroneous data or omitted information can influence similar case retrieval and decrease the reliability of the output. Next, the data from the collected cases are standardized because attributes were evaluated under equivalent conditions or scales when the similarity between the given case and previous cases was determined [5,40,53]. Furthermore, the data should be normalized to comparable or identical scales.…”

Section: Establishment Of the Case-basementioning

confidence: 99%

“…Environmental issues are a growing concern, and environmental pollution is globally recognized as a serious problem in modern society that adversely affects people and their surroundings [1][2][3][4][5][6][7][8]. Because of environmental pollution and nuisances, a number of related complaints and disputes have arisen [3,[9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

“…In particular, noise from construction projects is considered a principal pollutant that causes harmful effects to neighboring residents and the surrounding environment [7,9,14,15]. Chronic exposure to noise can lead to significant health problems, such as depression [5,8,16,17], hearing impairment [5,18,19], cardiovascular disease [3,20], impaired cognitive performance [1,4], interference of communication [2], general understanding [4], hypertension [2,8,10,20], mental disturbances [3,4,8,16,18], short-term memory impairments [1,2,4], and sleep disorders [2,3,20]. Such damages are not only restricted to residents, but may also cause economic losses to construction companies through cost overruns and schedule delays [8,10,14,21].…”

Section: Introductionmentioning

confidence: 99%

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Performance Evaluation of Distance Measurement Methods for Construction Noise Prediction Using Case-Based Reasoning

et al. 2019

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Concerns over environmental issues have recently increased. Particularly, construction noise in highly populated areas is recognized as a serious stressor that not only negatively affects humans and their environment, but also construction firms through project delays and cost overruns. To deal with noise-related problems, noise levels need to be predicted during the preconstruction phase. Case-based reasoning (CBR) has recently been applied to noise prediction, but some challenges remain to be addressed. In particular, problems with the distance measurement method have been recognized as a recurring issue. In this research, the accuracy of the prediction results was examined for two distance measurement methods: The weighted Euclidean distance (WED) and a combination of the Jaccard and Euclidean distances (JED). The differences and absolute error rates confirmed that the JED provided slightly more accurate results than the WED with an error ratio of approximately 6%. The results showed that different methods, depending on the attribute types, need to be employed when computing similarity distances. This research not only contributes an approach to achieve reliable prediction with CBR, but also contributes to the literature on noise management to ensure a sustainable environment by elucidating the effects of distance measurement depending on the attribute types.

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Section: Establishment Of the Case-basementioning

confidence: 99%

Section: Establishment Of the Case-basementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Performance Evaluation of Distance Measurement Methods for Construction Noise Prediction Using Case-Based Reasoning

et al. 2019

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“…When source control is unable to reduce noise levels at receptors to below critical levels, the next most common measure is to place obstacles, such as soundproof barriers and enclosures, along the transmission path [3,4]. In addition, some novel techniques derived from industry, such as active noise control techniques [5] and off-site construction [6], can be introduced as supplemental measures to overcome the limitations of the above-mentioned method. However, these above-mentioned measures have high investment costs.…”

Section: Introductionmentioning

confidence: 99%

DALY-Based Health Risk Assessment of Construction Noise in Beijing, China

Xiao

Zhang

2016

IJERPH

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Noise produced by construction activities has become the second most serious acoustic polluting element in China. To provide industry practitioners with a better understanding of the health risks of construction noise and to aid in creating environmentally friendly construction plans during early construction stages, we developed a quantitative model to assess the health impairment risks (HIA) associated with construction noise for individuals living adjacent to construction sites. This model classifies noise-induced health impairments into four categories: cardiovascular disease, cognitive impairment, sleep disturbance, and annoyance, and uses disability-adjusted life years (DALYs) as an indicator of damage. Furthermore, the value of a statistical life (VSL) is used to transform DALYs into a monetary value based on the affected demographic characteristics, thereby offering policy makers a reliable theoretical foundation for establishing reasonable standards to compensate residents suffering from construction noise. A practical earthwork project in Beijing is used as a case study to demonstrate the applicability of the proposed model. The results indicate that construction noise could bring significant health risks to the neighboring resident community, with an estimated 34.51 DALYs of health damage and 20.47 million yuan in social costs. In particular, people aged 45–54 are most vulnerable to construction noise, with the greatest health risks being caused by sleep disturbance.

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