Statistical Road-Traffic Noise Mapping Based on Elementary Urban Forms in Two Cities of South Korea

Abstract

Statistical models that can generate a road-traffic noise map for a city or area where only elementary urban design factors are determined, and where no concrete urban morphology, including buildings and roads, is given, can provide basic but essential information for developing a quiet and sustainable city. Long-term cost-effective measures for a quiet urban area can be considered at early city planning stages by using the statistical road-traffic noise map. An artificial neural network (ANN) and an ordinary least squares (OLS) model were developed by utilizing data on urban form indicators, based on a 3D urban model and road-traffic noise levels from a normal noise map of city A (Gwangju). The developed ANN and OLS models were applied to city B (Cheongju), and the resultant statistical noise map of city B was compared to an existing normal road-traffic noise map of city B. The urban form indicators that showed multi-collinearity were excluded by the OLS model, and among the remaining urban forms, road-related urban form indicators such as traffic volume and road area density were found to be important variables to predict the road-traffic noise level and to design a quiet city. Comparisons of the statistical ANN and OLS noise maps with the normal noise map showed that the OLS model tends to under-estimate road-traffic noise levels, and the ANN model tends to over-estimate them.

Pemetaan Kebisingan Lalu Lintas di Perkotaan – Sebuah Tinjauan

“…Bull-eye effect adalah area konsentris dengan nilai yang sama di sekitar titik data yang diketahui dan ini akan menunjukkan ada wilayah dengan tingkat kebisingan yang jau berbeda dengan wilayah lainnya. Selain bull-eyes, interpolasi juga kurang representatif dikarenakan tidak mempertimbangkan faktor jarak dari sumber bising (jalan) dan barrier (bangunan dan vegetasi) (Kim et al, 2021). Untuk menutupi hal tersebut, pemetaan kebisingan dapat dibangun dengan metode ANN (Artificial neural network) yang dapat mengakomodir beberapa indikator yang mempengaruhi kebisingan lalu lintas seperti jumlah kendaraan, kecepatan kendaraan dan keberadaan vegetasi (Garg et al, 2015;Kim et al, 2021).…”

Cluster Analysis of Urban Acoustic Environments on Barcelona Sensor Network Data

“…Segura-Garcia et al [42] explored the application of the ordinary Kriging technique to perform spatial interpolation of sound pressure level values obtained by a WASN in a small town and automatically generate a noise map. In Reference [43], predicted road-traffic noise level produced with a noise mapping software together with urban form indicators were considered to develop a neural network model. With this machine learning model, statistical noise maps for other cities can be estimated.…”

Preparation of Industrial Noise Mapping and Improvement of Environmental Quality

“…Analyses are carried out in line with numerical simulations in the process of strategic noise mapping and action plans. In the literature, various noise mapping software are used in noise mapping simulations and it is observed that the most widely used noise mapping programs are SoundPLAN [ 12 , 14 , 17 , 18 , 23 , 25 , 47 – 50 ], CadnaA [ 15 , 19 – 21 , 51 , 52 ], and Predictor [ 16 , 36 , 53 ]. In the research of Butorina et al [ 12 ], SoundPLAN noise mapping software was used to analyze noise level, increasing the efficiency of the noise protection design process was carried out with the application of building information modeling (BIM).…”

“…Today, noise originating from transportation (motorway noise, airport noise, and railway noise), noise originating from industrial activities, noise caused by construction activity, and noises caused by people and activities are effective in the formation of environmental noise. Highway noise mapping studies, railway noise mapping studies, and airport noise mapping studies are carried out to keep the noise generated from transportation under control [14][15][16][17][18][19][20][21][22][23][24][25]. In this research article, information about industrial noise control and industrial noise mapping studies is given.…”