In the last decades, 3D city models appear to have been predominantly used for
visualisation; however, today they are being increasingly employed in a number of domains …

Ninety per cent of urban areas' total noise pollution is caused by traffic. Green areas are a
very important factor for noise reduction. They will absorb noise from 5dB (A) to 10 dB (A) …

Traffic noise is a major health concern for people living in urban environments. Noise
map** can help evaluating the noise level for certain areas in a city. Traditionally, noise …

Traffic, music, language and nature help to create unique soundscapes that are essential to
the place-based character of each city. Taking into account both the urban soundscape and …

Noise map** is the process of determining and visualizing noise impact on the
environment in order to support environmental policies. Currently most noise impact studies …

Environmental consequences and the epidemiologic results of noise pollution have chronic
effects leading to widespread complications in the long run. As far as we know, there are a …

A method is presented for three-dimensional (3D) road traffic noise map** with
unstructured surface meshes of buildings and roads. Owing to the ability of the surface mesh …

This study represents a pioneering effort to integrate geographic information systems (GIS)
and ensemble machine learning methods to predict noise levels on a university campus …

Mountains are progressively being invaded by highways for development and defence
purposes. Environmental impact assessment (EIA) of highway projects in mountainous …

Traffic noise map** frequently employs Kriging, Inverse Distance Weighted (IDW), and
Triangular Irregular Networks (TIN) spatial interpolations. This study uses the Henk de …