...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of environmental monitoring: JEM >Road traffic noise: Self-reported noise annoyance versus GIS modelled road traffic noise exposure
【24h】

Road traffic noise: Self-reported noise annoyance versus GIS modelled road traffic noise exposure

机译：道路交通噪声：自我报告的噪声烦恼与GIS建模的道路交通噪声暴露

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Background and objectives: self-reported road traffic noise annoyance is commonly used in epidemiological studies for assessment of potential health effects. Alternatively, some studies have used geographic information system (GIS) modelled exposure to road traffic noise as an objective parameter. The aim of this study was to analyse the association between noise exposure due to neighbouring road traffic and the noise annoyance of adults, taking other determinants into consideration. Methods: parents of 951 Munich children from the two German birth cohorts GINIplus and LISAplus reported their annoyance due to road traffic noise at home. GIS modelled road traffic noise exposure (L _(den), maximum within a 50 m buffer) from the noise map of the city of Munich was available for all families. GIS-based calculated distance to the closest major road (≥10000 vehicles per day) and questionnaire based-information about family income, parental education and the type of the street of residence were explored for their potential influence. An ordered logit regression model was applied. The noise levels (Lden) and the reported noise annoyance were compared with an established exposure-response function. Results: the correlation between noise annoyance and noise exposure (L_(den)) was fair (Spearman correlation r_s = 0.37). The distance to a major road and the type of street were strong predictors for the noise annoyance. The annoyance modelled by the established exposure-response function and that estimated by the ordered logit model were moderately associated (Pearson's correlation r_p = 0.50). Conclusions: road traffic noise annoyance was associated with GIS modelled neighbouring road traffic noise exposure (L_(den)). The distance to a major road and the type of street were additional explanatory factors of the noise annoyance appraisal.
机译：背景和目标：流行病学研究通常使用自我报告的道路交通噪声烦恼来评估潜在的健康影响。或者，一些研究使用地理信息系统（GIS）建模的道路交通噪声暴露作为客观参数。这项研究的目的是在考虑其他因素的情况下，分析相邻道路交通引起的噪声暴露与成年人的噪声烦恼之间的关系。方法：来自德国两个出生队列的GINIplus和LISAplus的951名慕尼黑儿童的父母报告了他们由于家庭道路交通噪音而感到的烦恼。 GIS模拟的慕尼黑交通噪声图（L_（den），在50 m缓冲区内的最大值）适用于所有家庭。探索了基于GIS的最接近的主要道路（每天≥10000辆车）的距离以及基于问卷的有关家庭收入，父母教育和居住街道类型的信息的潜在影响。应用了有序的logit回归模型。将噪声水平（Lden）和报告的噪声烦恼与已建立的曝光响应功能进行比较。结果：噪声烦恼和噪声暴露之间的相关性（L_（den））是公平的（Spearman相关性r_s = 0.37）。到主要道路的距离和街道类型是噪音烦人的有力预测指标。通过建立的暴露响应函数建模的烦恼和通过有序logit模型估计的烦恼程度有一定关联（Pearson相关系数r_p = 0.50）。结论：道路交通噪声烦恼与GIS建模的邻近道路交通噪声暴露（L_（den））有关。到主要道路的距离和街道类型是噪声烦扰评估的其他解释性因素。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号