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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 road 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 “normalized landscape shape” calculated for the land use “garden” (NLSI_Garden), spatial metric “percentage of land use” calculated for the land use “sea” (PLAND_Sea), spatial metric “large patch index” calculated for the land use “food service” (LPI_Food), A-weighted sound pressure level exceeded 95% of time (LA95), spatial metric shape calculated for the land use “vehicles path” (SHAPE_MN_Vehicles_Path) and A-weighted sound pressure level exceeded 50% of time (LA50).
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ijerph-13-00934-f009: Percentage of relative importance of the predictors on the results calculated with the Olden et al. method for the road 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 “normalized landscape shape” calculated for the land use “garden” (NLSI_Garden), spatial metric “percentage of land use” calculated for the land use “sea” (PLAND_Sea), spatial metric “large patch index” calculated for the land use “food service” (LPI_Food), A-weighted sound pressure level exceeded 95% of time (LA95), spatial metric shape calculated for the land use “vehicles path” (SHAPE_MN_Vehicles_Path) and A-weighted sound pressure level exceeded 50% of time (LA50).

Mentions: Figure 9 shows the relative importance of the variables that compose the model of the road traffic areas. The spatial metric NLSI_Garden gives an idea of the relationship between the minimum and maximum perimeter of the green areas near each subject (to whom the interview was carried out). Since the influence of the NLSI_Garden on the soundscape appraisal is positive (23.9%), the higher the dispersion of the green areas is, the more negative the appraisal on the soundscape quality is.


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 road 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 “normalized landscape shape” calculated for the land use “garden” (NLSI_Garden), spatial metric “percentage of land use” calculated for the land use “sea” (PLAND_Sea), spatial metric “large patch index” calculated for the land use “food service” (LPI_Food), A-weighted sound pressure level exceeded 95% of time (LA95), spatial metric shape calculated for the land use “vehicles path” (SHAPE_MN_Vehicles_Path) and A-weighted sound pressure level exceeded 50% of time (LA50).
© Copyright Policy
Related In: Results  -  Collection

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

ijerph-13-00934-f009: Percentage of relative importance of the predictors on the results calculated with the Olden et al. method for the road 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 “normalized landscape shape” calculated for the land use “garden” (NLSI_Garden), spatial metric “percentage of land use” calculated for the land use “sea” (PLAND_Sea), spatial metric “large patch index” calculated for the land use “food service” (LPI_Food), A-weighted sound pressure level exceeded 95% of time (LA95), spatial metric shape calculated for the land use “vehicles path” (SHAPE_MN_Vehicles_Path) and A-weighted sound pressure level exceeded 50% of time (LA50).
Mentions: Figure 9 shows the relative importance of the variables that compose the model of the road traffic areas. The spatial metric NLSI_Garden gives an idea of the relationship between the minimum and maximum perimeter of the green areas near each subject (to whom the interview was carried out). Since the influence of the NLSI_Garden on the soundscape appraisal is positive (23.9%), the higher the dispersion of the green areas is, the more negative the appraisal on the soundscape quality is.

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.