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http://dx.doi.org/10.5050/KSNVE.2014.24.4.348

The Spatial Statistical Relationships between Road-traffic Noise and Urban Components Including Population, Building, Road-traffic and Land-use  

Ryu, Hunjae (Department of Energy and Environmental System Engineering, University of Seoul)
Park, In Kwon (Department of Urban Administration, University of Seoul)
Chang, Seo Il (Department of Environmental Engineering, University of Seoul / Center for Geographic Information Systems, Georgia Institute of Technology)
Chun, Bum Seok (Center for Geographic Information Systems, Georgia Institute of Technology)
Publication Information
Transactions of the Korean Society for Noise and Vibration Engineering / v.24, no.4, 2014 , pp. 348-356 More about this Journal
Abstract
To understand the relationship between road-traffic noise and urban components such as population, building, road-traffic and land-use, the city of Cheongju that already has road-traffic noise maps of daytime and nighttime was selected for this study. The whole area of the city is divided into square cells of a uniform size and for each cell, the urban components are estimated. A spatial representative noise level for each cell is determined by averaging out population-weighted facade noise levels for noise exposure population within the cell during nighttime. The relationship between the representative noise level and the urban components is statistically modeled at the cell level. Specially, we introduce a spatial auto regressive model and a spatial error model that turns out to explain above 85 % of the noise level. These findings and modeling methods can be used as a preliminary tool for environmental planning and urban design in modern cities in consideration of noise exposure.
Keywords
Spatial Statistical Model; Spatial Autoregressive Model; Spatial Error Model; Population-weighted Mean Value of Facade Noise Levels; Spatial Representative Noise Levels; Urban Components;
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Times Cited By KSCI : 1  (Citation Analysis)
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