2017
DOI: 10.1515/noise-2017-0002
|View full text |Cite
|
Sign up to set email alerts
|

Modelling of intra-urban variability of prevailing ambient noise at different temporal resolution

Abstract: Abstract:The impact of temporal aspects of noise data on model development and intra-urban variability on environmental noise levels are often ignored in the development of models used to predict its spatiotemporal variation within a city. Using a Land Use Regression approach, this study develops a framework which uses routine noise monitors to model the prevailing ambient noise, and to develop a noise variability map showing the variation within a city caused by land-use setting. The impact of data resolution… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

1
4
0

Year Published

2018
2018
2024
2024

Publication Types

Select...
8
1

Relationship

0
9

Authors

Journals

citations
Cited by 14 publications
(5 citation statements)
references
References 38 publications
1
4
0
Order By: Relevance
“…Noise levels in Accra were positively associated with traffic-related variables, particularly major roads (highways, motorways), similar to previous LUR studies in North America ( Fallah-Shorshani et al, 2018 ; Liu et al, 2020 ; Ragettli et al, 2016 ; Walker et al, 2017 ), Europe ( Aguilera et al, 2015 ; Alam et al, 2017 ), Asia and the Middle East ( Chang et al, 2019 ; Harouvi et al, 2018 ; Wang et al, 2016 ), and South Africa ( Sieber et al, 2017 ). Multi-lane and higher-speed roads can facilitate higher traffic volumes, and attract a fleet composition with a higher percentage of heavy vehicles that can produce higher noise levels in these areas ( Curran et al, 2013 ).…”
Section: Discussionsupporting
confidence: 86%
See 1 more Smart Citation
“…Noise levels in Accra were positively associated with traffic-related variables, particularly major roads (highways, motorways), similar to previous LUR studies in North America ( Fallah-Shorshani et al, 2018 ; Liu et al, 2020 ; Ragettli et al, 2016 ; Walker et al, 2017 ), Europe ( Aguilera et al, 2015 ; Alam et al, 2017 ), Asia and the Middle East ( Chang et al, 2019 ; Harouvi et al, 2018 ; Wang et al, 2016 ), and South Africa ( Sieber et al, 2017 ). Multi-lane and higher-speed roads can facilitate higher traffic volumes, and attract a fleet composition with a higher percentage of heavy vehicles that can produce higher noise levels in these areas ( Curran et al, 2013 ).…”
Section: Discussionsupporting
confidence: 86%
“…However, a challenge for implementing propagation models in many low and middle-income regions of the world has been that national governments or even international corporations do not routinely collect much of the data that are needed for the models, such as road-traffic counts, vehicle fleet compositions, or building height and footprint information with fine enough spatial or temporal granularity ( Aguilera et al, 2015 ; Kang, 2017b ; Sieber et al, 2017 ). Alternatively, land use regression (LUR) models ( Hoek et al, 2008 ), which are commonly used for the estimation of spatial variability in air pollution within cities ( Hoek et al, 2008 ), have also increasingly been applied to noise in recent years in some high and middle-income country cities ( Aguilera et al, 2015 ; Alam et al, 2017 ; Chang et al, 2019 ; Drudge et al, 2018 ; Fallah-Shorshani et al, 2018 ; Harouvi et al, 2018 ; Liu et al, 2020 ; Raess et al, 2021 ; Ragettli et al, 2016 ; Walker et al, 2017 ; Wang et al, 2016 ; Xie et al, 2011 ). Currently, only one environmental noise LUR model has been developed in SSA, for informal settlements in South Africa ( Sieber et al, 2017 ).…”
Section: Introductionmentioning
confidence: 99%
“…The benefits of constructing the noise map according to a previous study by Manojkumar et al [16], alarming noise levels were found near study areas on noise maps, prompting recommendations for immediate noise mitigation measures such as barriers or alternative traffic routes. Alam et al [17] stated that the noise map is a graphical representation of noise levels that is commonly used as a guidance in urban noise management. Noise mapping can also be used to estimate a location's environmental noise exposure.…”
Section: Spatial Mappingmentioning
confidence: 99%
“…The ADFIST model performance is measured in terms of four essential performance indicators: NRMSE, NMSE, R 2 , and MAPE [ 70 , 71 , 72 ]. The main reason behind the selection of NRMSE and NMSE for model evaluation is that field data includes multiple parameters with different units and varying ranges [ 73 , 74 , 75 ]. RMSE is a scale-dependent performance indicator.…”
Section: Resultsmentioning
confidence: 99%