INTERRA, Lambda, Departamento de Física Aplicada, Universidad de Extremadura, Cáceres, Spain.
INTERRA, Lambda, Departamento de Física Aplicada, Universidad de Extremadura, Cáceres, Spain; Facultad de Ciencias de la Salud, Universidad Autónoma de Chile, 5 Poniente 1670, 3460000, Talca, Chile.
Environ Res. 2021 Aug;199:111303. doi: 10.1016/j.envres.2021.111303. Epub 2021 May 18.
Noise levels measured in 27 cities with different areas (from 0.6 km to 59.27 km) and populations (from approximately 2000 to 70,000 inhabitants) were compared with respect to five different urban characteristics (population, area, total street length, density, and linear density). Comparisons were conducted for both overall city noise levels and noise registered on five types of roads with different functionality using the Categorisation Method. The results showed that four of the five cities' characteristics presented a significant correlation with the noise levels (all except for density). The calculated correlations were better for noise levels in the different categories than the overall noise values, with higher explained variability on the streets with more traffic. Therefore, the road categorisation method can be used not only to assess the noise variations within cities, but also to better explain the effect of noise on the analysed city characteristics. The results of the calculated relationships enable the estimation of noise levels both currently and in future urban developments of noise values on different types of streets.
对 27 个不同面积(0.6 公里至 59.27 公里)和人口(约 2000 至 70000 居民)的城市的噪声水平进行了测量,比较了五个不同城市特征(人口、面积、总街道长度、密度和线性密度)。使用分类方法对整个城市噪声水平和五种不同功能道路上的噪声进行了比较。结果表明,五个城市特征中有四个与噪声水平显著相关(除了密度)。不同类别中的噪声水平的计算相关性优于整体噪声值,在交通流量较大的街道上,可解释的变化更高。因此,道路分类方法不仅可以用于评估城市内部的噪声变化,还可以更好地解释噪声对分析城市特征的影响。计算得到的关系结果可用于估计当前和未来不同类型街道上的噪声值的城市发展噪声水平。