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Influence of Traffic Noise on Residential Environment

A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Environmental Sciences".

Deadline for manuscript submissions: closed (30 June 2024) | Viewed by 5423

Special Issue Editors

School of Civil and Transportation Engineering, Guangdong University of Technology, Guangzhou 510006, China
Interests: traffic noise; transportation environment; urban and regional planning; intelligent transportation
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen 518107, China
Interests: transportation environment; transportation noise; intelligent transportation; traffic big data
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Various modes of transportation, including highway, railway, waterway, and air, bring about noise pollution which cannot be ignored. This pollution causes both psychological and physiological effects to human health and also worsens the residential environment. Methods to reasonably evaluate and control traffic noise and reduce its influence on residents are directly related to human quality of life. Recently, there has been a number of studies on the impact of traffic noise on human settlements in terms of policies, theories, and methods. However, due to the complex traffic network, the application of new technology in planning and building construction, and the emphasis on human factors, understanding and mitigation of the impact of traffic noise on residential environment are facing new opportunities and challenges.

We are pleased to invite you to submit a paper to the Special Issue “Influence of Traffic Noise on Residential Environment” of the International Journal of Environmental Research and Public Health (IJERPH). This Special Issue seeks research papers on traffic noise influence of indoor/outdoor residential environments, which include various transportation modes and auditory/non-auditory impacts on human health and the environment.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following: measurement and prediction of traffic noise, assessment of indoor and outdoor acoustics environment, urban traffic environment planning, noise management and control technology, noise mapping and practical research, traffic noise exposure, health of residential public health, etc. It is expected that this Special Issue will provide a deeper understanding of the effect of noise pollution on human health through high-quality research.

You may choose our Joint Special Issue in Sustainability.

Dr. Haibo Wang
Prof. Dr. Ming Cai
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2500 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • traffic noise
  • indoor/outdoor acoustics environment
  • traffic noise exposure
  • soundscape
  • urban noise planning
  • noise prediction and assessment
  • psychological and physiological effects on health

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Published Papers (3 papers)

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Research

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16 pages, 1590 KiB  
Article
Deep Learning-Based Road Traffic Noise Annoyance Assessment
by Jie Wang, Xuejian Wang, Minmin Yuan, Wenlin Hu, Xuhong Hu and Kexin Lu
Int. J. Environ. Res. Public Health 2023, 20(6), 5199; https://doi.org/10.3390/ijerph20065199 - 15 Mar 2023
Cited by 3 | Viewed by 2286
Abstract
With the development of urban road traffic, road noise pollution is becoming a public concern. Controlling and reducing the harm caused by traffic noise pollution have been the hot spots of traffic noise management research. The subjective annoyance level of traffic noise has [...] Read more.
With the development of urban road traffic, road noise pollution is becoming a public concern. Controlling and reducing the harm caused by traffic noise pollution have been the hot spots of traffic noise management research. The subjective annoyance level of traffic noise has become one of the most important measurements for evaluating road traffic pollution. There are subjective experimental methods and objective prediction methods to assess the annoyance level of traffic noise: the subjective experimental method usually uses social surveys or listening experiments in laboratories to directly assess the subjective annoyance level, which is highly reliable, but often requires a lot of time and effort. The objective method extracts acoustic features and predicts the annoyance level through model mapping. Combining the above two methods, this paper proposes a deep learning model-based objective annoyance evaluation method, which directly constructs the mapping between the noise and annoyance level based on the listening experimental results and realizes the rapid evaluation of the noise annoyance level. The experimental results show that this method has reduced the mean absolute error by 30% more than the regression algorithm and neural network, while its performance is insufficient in the annoyance interval where samples are lacking. To solve this problem, the algorithm adopts transfer learning to further improve the robustness with a 30% mean absolute error reduction and a 5% improvement in the correlation coefficient between the true results and predicted results. Although the model trained on college students’ data has some limitations, it is still a useful attempt to apply deep learning to noise assessment. Full article
(This article belongs to the Special Issue Influence of Traffic Noise on Residential Environment)
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Review

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12 pages, 672 KiB  
Review
A Scoping Review on Occupational Noise Mitigation Strategies and Recommendations for Sustainable Ship Operations
by Kresna Febriyanto, Joana Cristina Cardoso Guedes and Luis João Rodrigues Das Neves Correia Mourão
Int. J. Environ. Res. Public Health 2024, 21(7), 894; https://doi.org/10.3390/ijerph21070894 - 9 Jul 2024
Viewed by 1022
Abstract
Environmental and occupational noise has the potential to result in health risks. The presence of high noise levels aboard ships can cause substantial hazards that affect the well-being of those employed in the maritime industry. The study and implementation of occupational noise reduction [...] Read more.
Environmental and occupational noise has the potential to result in health risks. The presence of high noise levels aboard ships can cause substantial hazards that affect the well-being of those employed in the maritime industry. The study and implementation of occupational noise reduction aboard ships are of the highest priority for ensuring the well-being of marine workers, compliance with regulatory standards, protection of the environment, and improvement of overall operational efficiency and safety within the maritime sector. A scoping study was conducted to collect and summarize the existing scientific literature about approaches to preventing occupational noise in vessel operations. We searched electronic databases for papers published up to June 2024. Initially, 94 articles were identified for screening, and the present research produced 16 studies, which were finally analyzed. Resultantly, noise control may begin with elimination, substitution, engineering, administrative, and hearing protection (ear plugs or muffs). Noise control innovation would be started with engineering techniques. Hearing protection devices (HPDs) could be used to reduce noise and as an instrument of communication between sailors. More research needs to be carried out in order to find the best ways for maritime vessels to reduce noise at work and to see how well they work in lowering the risks that come with noise for workers on board. Full article
(This article belongs to the Special Issue Influence of Traffic Noise on Residential Environment)
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Other

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25 pages, 1208 KiB  
Systematic Review
The Governance of Traffic Noise Impacting Pedestrian Amenities in Melbourne Australia: A Critical Policy Review
by David O’Reilly, Marcus White, Nano Langenheim and Pantea Alambeigi
Int. J. Environ. Res. Public Health 2024, 21(8), 1080; https://doi.org/10.3390/ijerph21081080 - 16 Aug 2024
Viewed by 1232
Abstract
By identifying a unified aim of Federal, State, and Local government authorities to deliver healthier, more liveable urban spaces and enable walkable neighbourhoods in Melbourne, Australia, questions emerge regarding noise data collection methods and the policies that aim to protect pedestrian areas from [...] Read more.
By identifying a unified aim of Federal, State, and Local government authorities to deliver healthier, more liveable urban spaces and enable walkable neighbourhoods in Melbourne, Australia, questions emerge regarding noise data collection methods and the policies that aim to protect pedestrian areas from potential increases in urban traffic noise. It highlights a missed opportunity to develop strategies that provide explicit guidance for designing more compact urban forms without diminishing pedestrian amenities. This study investigates the governance of traffic-induced noise pollution and its impact on pedestrian amenities in Melbourne, Australia. It aims to identify the government bodies best positioned to protect pedestrians from noise pollution and evaluate the strategic justification for reducing traffic noise to enhance urban walkability. This research employs a semi-systematic policy selection method and a hybrid critique and review method to evaluate the multidisciplinary governance frameworks engaged in the management and mitigation of traffic noise in Melbourne. Key findings reveal that while traffic noise poses significant health risks, current policies overlook its impact on pedestrian amenities in urban areas. This study emphasises the benefits of qualitative and subjective noise data collection to inform policy-makers of the pedestrian aural experience and impacts. Discussion points include noise management strategies and the value of implementing metropolitan-scale noise-mapping to illustrate the impact of noise rather than quantities of sound. The conclusions demonstrate that there is strategic justification for managing traffic-induced noise pollution to protect pedestrian areas within international, federal, and state government policies and implicit rationale at a local level. Full article
(This article belongs to the Special Issue Influence of Traffic Noise on Residential Environment)
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