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Evaluation of an urban traffic Noise-Exposed population based on points of interest and noise maps: The case of Guangzhou

机译:基于兴趣点和噪声图的城市交通噪声人群评价:以广州市为例

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The primary objective of this study was to develop an evaluation method for assessing an urban traffic noise-exposed population and apply it in the main urban area of Guangzhou. The method based on points of interest (POls) and noise map is realized in several steps. First, after regionalizing based on road networks and executing a cluster analysis for regions according to the properties of POls, the environmental noise functional regions (NFRs) of the urban area are presented. Then, surrounding POls are used to infer the type of buildings, and according to the attraction of different building types and the whole population of the region, the population distribution at the building level is calculated. Finally, with the help of a noise map, an evaluation method for assessing an urban traffic noise exposed population is proposed. The method is applied in the main urban area of Guangzhou, and the results reveal the followings. 1) At daytime and nighttime, 23.63% and 30.53% of the population, respectively, experience noise levels that exceed the noise standards. The per capita noise exposure value at daytime and nighttime is 0.9 dB and 2.0 dB, respectively. 2) The percentages of the exposed population of Yuexiu District were 28.89% at daytime and 35.65% at nighttime, which are the largest, followed by the exposed population percentages of Liwan, Haizhu, and Tianhe Districts. 3) From the view of different classes of NFRs, the percentages of the exposed population of Class I and Class 4 are larger than the percentages of the exposed population from the other classes, especially at nighttime (48.24% of Class 1 and 40.79% of Class 4). 4) Although there are masses of people affected by traffic noise, a large percentage of them (85%) experience not more than 5 dB of traffic noise superscale. (C) 2018 Elsevier Ltd. All rights reserved.
机译:这项研究的主要目的是开发一种评估城市交通噪声暴露人口的评估方法,并将其应用于广州主要城市地区。分几个步骤来实现基于兴趣点(POls)和噪声图的方法。首先,在基于道路网络进行区域划分并根据POls的属性对区域进行聚类分析之后,提出了市区的环境噪声功能区(NFR)。然后,使用周围的POl来推断建筑物的类型,并根据不同建筑物类型的吸引力和该区域的整体人口,计算建筑物级别的人口分布。最后,借助噪声图,提出了一种评估城市交通噪声暴露人群的评估方法。该方法在广州市主城区得到应用,结果表明: 1)在白天和晚上,分别有23.63%和30.53%的人口遇到的噪声水平超过了噪声标准。白天和夜间的人均噪声暴露值分别为0.9 dB和2.0 dB。 2)越秀区日均人口暴露比例为28.89%,夜间为35.65%,其次是荔湾区,海珠区和天河区。 3)从不同类别的NFR来看,I类和4类暴露人群的百分比大于其他类别的暴露人群的百分比,尤其是在夜间(1类的48.24%和40.79%的NFR)。第4类)。 4)尽管有很多人受到交通噪声的影响,但其中很大一部分人(85%)所经历的交通噪声超标不超过5 dB。 (C)2018 Elsevier Ltd.保留所有权利。

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