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Acoustic, Visual and Spatial Indicators for the Description of the Soundscape of Waterfront Areas with and without Road Traffic Flow

View Article: PubMed Central - PubMed

ABSTRACT

High flows of road traffic noise in urban agglomerations can negatively affect the livability of squares and parks located at the neighborhood, district and city levels, therefore pushing anyone who wants to enjoy calmer, quieter areas to move to non-urban parks. Due to the distances between these areas, it is not possible to go as regularly as would be necessary to satisfy any needs. Even if cities are densely populated, the presence of a sea or riverfront offers the possibility of large restorative places, or at least with potential features for being the natural core of an urban nucleus after a renewal intervention. This study evaluates the soundscape of the Naples waterfront, presenting an overview of the most significant visual, acoustic and spatial factors related to the pedestrian areas, as well as areas open to road traffic and others where the road traffic is limited. The factors were chosen with feature selection methods and artificial neural networks. The results show how certain factors, such as the perimeter between the water and promenade, the visibility of the sea or the density of green areas, can affect the perception of the soundscape quality in the areas with road traffic. In the pedestrian areas, acoustic factors, such as loudness or the A-weighted sound level exceeded for 10% of the measurement duration (LA10), influence the perceived quality of the soundscape.

No MeSH data available.


Percentage of relative importance of the predictors on the results calculated with the Olden et al. method for the limited traffic areas. Values higher than zero mean a positive relative effect, and lower than zero a negative relative effect. The input variables are from top to bottom spatial metric “percentage of land use” calculated for the land use “sea” (PLAND_Sea), spatial metric “contiguity” calculated for the land use “pedestrian path” (CONTIG_MN_Pedestrian_path), spatial metric “proximity” calculated for the land use “food services” (PROX_MN_Food_services), spatial metric “shape” calculated for the land use “sea” (SHAPE_MN_Sea), “percentage of generic buildings in the aerial photograph within a distance of 100 m” (CP_Building_100) and A-weighted equivalent sound pressure level (LAeq).
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ijerph-13-00934-f007: Percentage of relative importance of the predictors on the results calculated with the Olden et al. method for the limited traffic areas. Values higher than zero mean a positive relative effect, and lower than zero a negative relative effect. The input variables are from top to bottom spatial metric “percentage of land use” calculated for the land use “sea” (PLAND_Sea), spatial metric “contiguity” calculated for the land use “pedestrian path” (CONTIG_MN_Pedestrian_path), spatial metric “proximity” calculated for the land use “food services” (PROX_MN_Food_services), spatial metric “shape” calculated for the land use “sea” (SHAPE_MN_Sea), “percentage of generic buildings in the aerial photograph within a distance of 100 m” (CP_Building_100) and A-weighted equivalent sound pressure level (LAeq).

Mentions: The relative importance of the variables that appear in the model of the limited road traffic areas is shown in Figure 7. The PLAND_Sea is the metric with highest influence on the soundscape perception in the areas with limited traffic (39.6%). The area with a higher PLAND_Sea is the one nearest to the pedestrian area, in which the noise levels are lower due to the configuration of the streets network and the traffic flows.


Acoustic, Visual and Spatial Indicators for the Description of the Soundscape of Waterfront Areas with and without Road Traffic Flow
Percentage of relative importance of the predictors on the results calculated with the Olden et al. method for the limited traffic areas. Values higher than zero mean a positive relative effect, and lower than zero a negative relative effect. The input variables are from top to bottom spatial metric “percentage of land use” calculated for the land use “sea” (PLAND_Sea), spatial metric “contiguity” calculated for the land use “pedestrian path” (CONTIG_MN_Pedestrian_path), spatial metric “proximity” calculated for the land use “food services” (PROX_MN_Food_services), spatial metric “shape” calculated for the land use “sea” (SHAPE_MN_Sea), “percentage of generic buildings in the aerial photograph within a distance of 100 m” (CP_Building_100) and A-weighted equivalent sound pressure level (LAeq).
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC5036766&req=5

ijerph-13-00934-f007: Percentage of relative importance of the predictors on the results calculated with the Olden et al. method for the limited traffic areas. Values higher than zero mean a positive relative effect, and lower than zero a negative relative effect. The input variables are from top to bottom spatial metric “percentage of land use” calculated for the land use “sea” (PLAND_Sea), spatial metric “contiguity” calculated for the land use “pedestrian path” (CONTIG_MN_Pedestrian_path), spatial metric “proximity” calculated for the land use “food services” (PROX_MN_Food_services), spatial metric “shape” calculated for the land use “sea” (SHAPE_MN_Sea), “percentage of generic buildings in the aerial photograph within a distance of 100 m” (CP_Building_100) and A-weighted equivalent sound pressure level (LAeq).
Mentions: The relative importance of the variables that appear in the model of the limited road traffic areas is shown in Figure 7. The PLAND_Sea is the metric with highest influence on the soundscape perception in the areas with limited traffic (39.6%). The area with a higher PLAND_Sea is the one nearest to the pedestrian area, in which the noise levels are lower due to the configuration of the streets network and the traffic flows.

View Article: PubMed Central - PubMed

ABSTRACT

High flows of road traffic noise in urban agglomerations can negatively affect the livability of squares and parks located at the neighborhood, district and city levels, therefore pushing anyone who wants to enjoy calmer, quieter areas to move to non-urban parks. Due to the distances between these areas, it is not possible to go as regularly as would be necessary to satisfy any needs. Even if cities are densely populated, the presence of a sea or riverfront offers the possibility of large restorative places, or at least with potential features for being the natural core of an urban nucleus after a renewal intervention. This study evaluates the soundscape of the Naples waterfront, presenting an overview of the most significant visual, acoustic and spatial factors related to the pedestrian areas, as well as areas open to road traffic and others where the road traffic is limited. The factors were chosen with feature selection methods and artificial neural networks. The results show how certain factors, such as the perimeter between the water and promenade, the visibility of the sea or the density of green areas, can affect the perception of the soundscape quality in the areas with road traffic. In the pedestrian areas, acoustic factors, such as loudness or the A-weighted sound level exceeded for 10% of the measurement duration (LA10), influence the perceived quality of the soundscape.

No MeSH data available.