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    Noise annoyance through railway traffic - a case study
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    Abstract:
    This paper describes an assessment of noise caused by railway traffic in a large Latin American city. Measurements were taken of noise levels generated by trains passing through residential neighborhoods with and without blowing their horns. Noise maps were also calculated showing noise pollution generated by the train traffic. In addition - annoyance of the residents - affected by railway noise, was evaluated based on interviews. The measurements indicated that the noise levels generated by the passage of the train with its horn blowing are extremely high, clearly exceeding the daytime limits of equivalent sound pressure level - Leq = 55 dB(A) - established by the municipal laws No 10.625 of the city of Curitiba. The Leq = 45 dB (A) which is the limit for the night period also are exceeded during the passage of trains. The residents reported feeling affected by the noise generated by passing trains, which causes irritability, headaches, poor concentration and insomnia, and 88% of them claimed that nocturnal noise pollution is the most distressing. This study showed that the vast majority of residents surveyed, (69%) believe that the noise of the train can devalue their property.
    Keywords:
    Annoyance
    Irritability
    Abstract Noise pollution in the mining industry has become a serious concern in recent years and has aroused extensive health complaints for the mine workers. Despite the increasing knowledge of the association between noise exposure and health effects, only a few studies have investigated the adverse health effects due to noise pollution in the mining industry. The present study aims to determine the interrelationship of mining noise (MN), demographic characteristics (DC), noise sensitivity and noise annoyance (NA) with subjective health complaints (SHC). A PLS-SEM approach has been used to assess the direct and indirect relationship between the influencing factors on the SHC of 272 people in the mines. Field measurements were made using a sound level meter to evaluate the ambient noise levels for 1 h duration during day and night hour shifts in Dhansar and Bastacolla mining areas of the Jharia coalfield. The noise maps revealed that most of the locations have noise levels higher than 70 dB(A). The statistical model suggests that NA is the most important predictor of SHC. Besides, DC and MN induce only indirect effect on SHC. The study shall facilitate in developing a decision support tool for the assessment of noise levels, induced annoyance, SHC, and suitable policy interventions for controlling noise exposure among mine workers in the coalfield.
    Annoyance
    Citations (4)
    Investigation of the status of traffic noise pollution in the urban of Pingding shan was made.The reason of urban traffic noise and the features of pollution was analyzed.Some related control measures for urban traffic noise were developed.
    Roadway noise
    Citations (0)
    Background : Road traffic is considered as one of the main sources of noise pollution causing annoyance. In this study the relationship between noise pollution and demographic factors of residents living near Basij highway, north to south of Tehran’s district 15 was studied. Materials and Methods : The noise measurement was conducted along 2 kilometers that was divided into 10 stations, each with a length of 200 meters. The measurement of equivalent level of noise took 5 minutes in each station. A questionnaire was developed to investigate the relationship between noise and annoyance. The Cochran formula yielded a sample size of 170 people, and their demographic factors were examined. All stages of study was conducted ethically. Results : The noise annoyed women more than men, and 48.91% of women reported high annoyance.The minimum (75.9 dBA) and maximum (87.60 dBA) levels of noise were measured at the first and fifth stations, respectively. The relationships between noise annoyance and LeqA, sex, sleep disturbances, headache, disturbance of the leisure time, and impaired concentration were statistically significant (P<0.05). Average equivalent level of sound in all stations were higher than the standard level. Conclusion : In this study it was found that traffic noise leads to dysfunction of the studied area residents.Indeed, women found the constant noise of the traffic an annoyance. Taking corrective measures to ensure physical and psychological health were thence recommended. Keywords : Noise annoyance, Highway, Traffic, Pollution
    Annoyance
    Environmental Noise
    Citations (1)
    Road traffic is a major source of in urban areas with far-reaching and wide-range effect to human. It produces disturbance and inversely impacts more than other forms of noise. Urban traffic noise impact assessment has thus become an active environmental acoustics domain. This paper firstly measures the traffic noise in the truck lines in Nanchang city and estimates it. Then this paper finds out the cause of the traffic noise in Nanchang city. Thirdly this paper gives some suggestions on the noise pollution.
    Roadway noise
    Environmental Noise
    Citations (0)
    Noise from road traffic has over the years become a major problem in society. To investigate possible strategies for governments to pursue on noise abatement, and give a recommendation on which strategy will be most beneficial for society at large, this paper focuses on reducing noise annoyance and the cost effectiveness of different noise abatement measures when it comes to changing one "annoyed" by road traffic noise to one no longer "annoyed" by road traffic noise. When viewed over a 20 years perspective, the cost of reducing the annoyance by one varies from 15 euros to 1800 euros per year depending on the measure chosen. Handling noise at source is the most cost effective approach to reduce noise annoyance, and especially to address the vehicle noise. The measures investigated are noise barriers, facade insulation, quieter road surfaces and development and production of quieter vehicles
    Annoyance
    Euros
    Roadway noise
    Facade
    Value (mathematics)
    Due to the expansion of urban areas, an increasing number of residents are exposed to combined community noise sources. Studies show that the exposure to transportation noise significantly affects health and well-being. Noise annoyance is one of these adverse health effects. Up to now, annoyance due to transportation noise is mostly assessed considering single noise exposure situations neglecting the effects of potential interactions between noise sources. In this study, perceptual phenomena involved in noise annoyance due to combined urban road traffic and tramway noises are assessed in laboratory conditions with imaginary and simulated contexts. The urban road traffic was composed of light vehicles, heavy vehicles, buses, and powered-two-wheelers in different driving conditions. The tramway traffic corresponded to tramways in in-curve operating configurations. It could be shown that the road traffic and tramway traffic partial annoyance responses were influenced by each other. Throughout the experiments the strongest component effect prevailed but secondary phenomena could also be observed. Considering the perceptual phenomena highlighted in the analysis, it is shown that total noise annoyance due to the combined noises can be most adequately predicted by the strongest component model. This result was obtained by calculating partial annoyance responses due to urban road and tramway traffic.
    Annoyance
    Roadway noise
    Environmental Noise
    Citations (13)
    Traffic noise is a major source of noise pollution in the urban environment, including road traffic noise and rail traffic noise, which has become one of the domestic large and medium cities in environmental issues to be solved. This paper analyzes the status of the Beijing traffic noise pollution and control strategies, and a typical apartment block selected as a case, analyzes its noise pollution elements, severity, time distribution, and draws a noise map of the plane area and a dormitory building in the noise conditions typical time. Last we discussed and gave the method based on noise control measures.
    Roadway noise
    Environmental Noise