The Experts below are selected from a list of 252 Experts worldwide ranked by ideXlab platform
De Zhong Ma - One of the best experts on this subject based on the ideXlab platform.
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The Monitoring and Prevention of Traffic Noise in Urban Road
Advanced Materials Research, 2014Co-Authors: Yong Xing Tong, Yong Qing Jiang, Zhen Zhou, De Zhong MaAbstract:With the continuous development of social economy and urbanization in our country, Noise pollution has become the fourth largest environment pollution in our country but water pollution, air pollution, solid waste pollution, which is the widest influence of Traffic Noise. In recent years, with the development of automobile industry and urban transportation, road Traffic Noise pollution in Harbin phenomenon is increasingly prominent, which seriously affected the People's daily life. Through detailed survey we found that the research on road Traffic Noise pollution situation in Harbin is very less, and part of the evaluation is not accurate. In this paper, firstly the characteristics of road Traffic Noise and Noise evaluation index selection is discussed in detail. The xuefu road sections in Harbin city Traffic Noise and Traffic Noise pollution monitoring research in detail strict accordance with national standards. According to monitoring data of xuefu road Traffic Noise pollution source in time and space distribution analysis, the roughly the time distribution and spatial distribution of xuefu road Traffic flow. By the overall analyzed monitoring data characteristic, the xuefu road Traffic Noise pollution is serious. According the previous analysis and research, the researchers find out the main factors influencing the xuefu road Traffic condition, and we puts forward some countermeasures for the Noise reduction. Through the study of this paper, that is to Harbin city xuefu road for the future of the road Traffic Noise monitoring and management work provide favorable basis, and it has good practical application value. It aimed at Harbin city road Traffic Noise control, urban planning and construction, provide theoretical basis for government decisions.
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The Study of Monitoring and Control in the Urban Traffic Noise
Advanced Materials Research, 2013Co-Authors: Yong Xing Tong, Yong Qing Jiang, Zhen Zhou, De Zhong MaAbstract:In recent years, with the development of the automobile industry and urban Traffic, the pollution of road Traffic Noise in Harbin has become more and more deleterious. After a detailed survey, it was found that the study about the situation of Traffic Noise pollution in Harbin was less and the result of evaluation was not accurate enough. In addition, the monitoring spots selected were so many that the workload was too heavy. Aim at this phenomenon, a new and comprehensive monitor on road Traffic Noise in Harbin and evaluation studies was done. The research was according to the state standards. The selected 35 road sections, the source of Traffic Noise and the state of Traffic Noise in Harbin and the state of Traffic Noise pollution were monitored detailed. The temporal and spatial distribution analysis on the source of Traffic Noise pollution in Harbin was carried out according to the monitoring datum. Through the monitoring safety analysis and overall character analysis on the state of road Traffic Noise, it was educed the phenomena of road Traffic Noise was serious pollution in Harbin. The mean value of equivalent continuous sound pressure level was 72.5dB, exceed state criterion about 2.5dB. Traffic Noise of region was concluded that Daowai district>Daoli district>Xiangfang district>Nangang district by the Traffic Noise monitoring and safety analysis. Finally, the researchers found out the main factors which influence the state of road Traffic conditions in Harbin based on the previous studies, and provided the countermeasures to reduce the Noise.
Norun Hjertager Krog - One of the best experts on this subject based on the ideXlab platform.
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Road Traffic Noise and children’s inattention
Environmental Health, 2017Co-Authors: Kjell Vegard Fjeldheim Weyde, Norun Hjertager Krog, Bente Oftedal, Per Magnus, Simon Øverland, Stephen Stansfeld, Mark J. Nieuwenhuijsen, Martine Vrijheid, Montserrat De Castro Pascual, Gunn Marit AasvangAbstract:An increasing number of children are exposed to road Traffic Noise levels that may lead to adverse effects on health and daily functioning. Childhood is a period of intense growth and brain maturation, and children may therefore be especially vulnerable to road Traffic Noise. The objective of the present study was to examine whether road Traffic Noise was associated with reported inattention symptoms in children, and whether this association was mediated by sleep duration. This study was based on the Norwegian Mother and Child Cohort Study conducted by the Norwegian Institute of Public Health. Parental reports of children’s inattention at age 8 were linked to modelled levels of residential road Traffic Noise. We investigated the association between inattention and Noise exposure during pregnancy (n = 1934), Noise exposure averaged over 5 years (age 3 to 8 years; n = 1384) and Noise exposure at age 8 years (n = 1384), using fractional logit response models. The participants were children from Oslo, Norway. An association with inattention at age 8 years was found for road Traffic Noise exposure at age 8 years (coef = .0083, CI = [.0012, .0154]; 1.2% point increase in inattention score per 10 dB increase in Noise level), road Traffic Noise exposure average for the last 5 years (coef = .0090, CI = [.0016, .0164]; 1.3% point increase/10 dB), and for pregnancy road Traffic Noise exposure for boys (coef = .0091, CI = [.0010, .0171]), but not girls (coef = −.0021, CI = [−.0094, .0053]). Criteria for doing mediation analyses were not fulfilled. Results indicate that road Traffic Noise has a negative impact on children’s inattention. We found no mediation by sleep duration.
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exposure to Traffic Noise and markers of obesity
Occupational and Environmental Medicine, 2015Co-Authors: Andrei Pyko, Norun Hjertager Krog, Bente Oftedal, Gunn Marit Aasvang, Charlotta Eriksson, Agneta Hilding, Claesgoran Ostenson, Bettina Julin, Goran PershagenAbstract:OBJECTIVES: Limited evidence suggests adverse effects of Traffic Noise exposure on the metabolic system. This study investigates the association between road Traffic Noise and obesity markers as well as the role of combined exposure to multiple sources of Traffic Noise. METHODS: In a cross-sectional study performed in 2002-2006, we assessed exposure to Noise from road Traffic, railways and aircraft at the residences of 5075 Swedish men and women, primarily from suburban and semirural areas of Stockholm County. A detailed questionnaire and medical examination provided information on markers of obesity and potential confounders. Multiple linear and logistic regression models were used to assess associations between Traffic Noise and body mass index (BMI), waist circumference and waist-hip ratio using WHO definitions of obesity. RESULTS: Road Traffic Noise was significantly related to waist circumference with a 0.21 cm (95% CI 0.01 to 0.41) increase per 5 dB(A) rise in L(den). The OR for central obesity among those exposed to road Traffic Noise ≥ 45 dB(A) was 1.18 (95% CI 1.03 to 1.34) in comparison to those exposed below this level. Similar results were seen for waist-hip ratio (OR 1.29; 95% CI 1.14 to 1.45) but not for BMI (OR 0.89; 95% CI 0.76 to 1.04). Central obesity was also associated with exposure to railway and aircraft Noise, and a particularly high risk was seen for combined exposure to all three sources of Traffic Noise (OR 1.95; 95% CI 1.24 to 3.05). CONCLUSIONS: Our results suggest that Traffic Noise exposure can increase the risk of central obesity. Combined exposure to different sources of Traffic Noise may convey a particularly high risk.
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road Traffic Noise sleep and mental health
Environmental Research, 2014Co-Authors: Gunn Marit Aasvang, Bente Oftedal, Karin Sygna, Geir Aamodt, Norun Hjertager KrogAbstract:Abstract This study examines the relationship between road Traffic Noise, self-reported sleep quality and mental health. The study is cross-sectional and based on data from a survey conducted in Oslo, Norway, in 2000. Psychological distress (Hopkins Symptom Checklist, HSCL-25) was measured along with self-reported somatic health, sleep quality, Noise sensitivity and socioeconomic variables. Questionnaire data were combined with modeled estimates of Noise exposure. The total study sample consisted of 2898 respondents. After adjustment for potential confounders and stratifying for sleep quality, we found a positive, but not statistically significant association between Noise exposure and symptoms of psychological distress among participants with poor sleep quality (slope=0.06, 95% CI: −0.02 to 0.13, per 10 dB increase in Noise exposure). In the same sleep quality group, we found a borderline statistically significant association between Noise exposure and a symptom level indicating a probable mental disorder (HSCL≥1.55) (odds ratio=1.47, 95% CI: 0.99–1.98, per 10 dB increase in Noise exposure). We found no association between road Traffic Noise and mental health among subjects reporting good and medium sleep quality. The results suggest that road Traffic Noise may be associated with poorer mental health among subjects with poor sleep. Individuals with poor sleep quality may be more vulnerable to effects of road Traffic Noise on mental health than individuals with better sleep quality.
Karin Sygna - One of the best experts on this subject based on the ideXlab platform.
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road Traffic Noise sleep and mental health
Environmental Research, 2014Co-Authors: Gunn Marit Aasvang, Bente Oftedal, Karin Sygna, Geir Aamodt, Norun Hjertager KrogAbstract:Abstract This study examines the relationship between road Traffic Noise, self-reported sleep quality and mental health. The study is cross-sectional and based on data from a survey conducted in Oslo, Norway, in 2000. Psychological distress (Hopkins Symptom Checklist, HSCL-25) was measured along with self-reported somatic health, sleep quality, Noise sensitivity and socioeconomic variables. Questionnaire data were combined with modeled estimates of Noise exposure. The total study sample consisted of 2898 respondents. After adjustment for potential confounders and stratifying for sleep quality, we found a positive, but not statistically significant association between Noise exposure and symptoms of psychological distress among participants with poor sleep quality (slope=0.06, 95% CI: −0.02 to 0.13, per 10 dB increase in Noise exposure). In the same sleep quality group, we found a borderline statistically significant association between Noise exposure and a symptom level indicating a probable mental disorder (HSCL≥1.55) (odds ratio=1.47, 95% CI: 0.99–1.98, per 10 dB increase in Noise exposure). We found no association between road Traffic Noise and mental health among subjects reporting good and medium sleep quality. The results suggest that road Traffic Noise may be associated with poorer mental health among subjects with poor sleep. Individuals with poor sleep quality may be more vulnerable to effects of road Traffic Noise on mental health than individuals with better sleep quality.
Chaisri Tharasawatpipat - One of the best experts on this subject based on the ideXlab platform.
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Modeling of Urban Area Stop-and-Go Traffic Noise
Journal of Transportation Engineering-asce, 1999Co-Authors: Pichai Pamanikabud, Chaisri TharasawatpipatAbstract:Simulation of urban Traffic Noise along with a mathematical model of stop-and-go Traffic Noise for the road network in the city center is presented in this paper. The road network of the central part of Bangkok surrounded by the Cordon line of Rajchadapisek Ring Road was used as the study area. The analysis data consisted of Traffic characteristics and its Noise levels, which were collected from the study area. The geometrical dimensions of road section at each data collection location also were measured. Characteristics of Traffic Noise from different types of vehicles were analyzed, including tuk-tuks (motorized tricycle taxis) and motorcycles, which are considered as popular vehicle types in Bangkok. Characteristics of Traffic Noise levels and data on other Traffic Noise parameters were used to analyze and subsequently construct the stop-and-go Traffic Noise simulation model. Finally, the resultant stop-and-go Traffic Noise models, which are separated into acceleration and deceleration lane models and ...
Berg Pa - One of the best experts on this subject based on the ideXlab platform.
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MODELING OF URBAN AREA STOP-AND-GO Traffic Noise
JOURNAL OF TRANSPORTATION ENGINEERING, 1999Co-Authors: Jan Měšťák, R O T Hen, Berg PaAbstract:The stop-and-go or interrupted Traffic flow in urban areas generates Traffic Noise, which is characteristically different from that of uninterrupted or free-flow Traffic conditions nor- mally occurring on highways and expressways (Anderson 1976; Agent and Zegeer 1980; Pamanikabud 1987; Bowlby et al. 1989). This characteristic difference in Traffic Noise requires a different modeling technique from the one used for free-flow Traffic conditions. This research aims at building an empirical model for stop-and-go Traffic Noise for the urban areas of Bangkok. It is intended that this model be used for forecasting and analyzing urban Traffic Noise levels, in addition to inves- tigating the mitigation measures for interrupted or stop-and- go Traffic Noises in the capital city of Thailand.
