Analysis of traffic noise distribution and influence factors in Chinese urban residential blocks

Abstract

To improve the acoustic environment of residential blocks, noise mapping is employed in this study to analyze traffic noise distribution and the influence factors of four types of residential blocks in China. The study shows that high-rise small blocks have the highest average noise level (L avg ) for ground and building facades, followed by small low-rise blocks while modern residential blocks yield the lowest value. An analysis of the standard deviation (STD) of spatial statistical noise level (L n ) shows that the STD of the ground and building façade of two types of small blocks is higher than that of other blocks. The analysis of influence factors indicates that the lot area of residential block has significant negative correlation with ground and building facade average noise level (L avg ) , and street coverage ratio (SCR) has significant positive correlation with ground and building facade average noise level (L avg ). In low-rise and high-rise small blocks, ground space index (GSI) has significant negative correlation with ground and building facade average noise level (L avg ); street interface density (SID) has significant positive correlation with the STDs of ground and building facade noise. Floor space index (FSI) shows significant positive correlation with the STDs of ground and building facade noise in low-rise small blocks.

Noise levels associated with urban land use types in Kigali, Rwanda

“…Levels of noise pollution in cities are influenced by the design of urban areas; urban density, urban morphology, street distribution, street environment, and urban land use are critical factors in noise pollution [ 26 ]. Cities with larger green spaces have, for instance, lower day-evening-night noise levels [ 26 , 27 , 28 ]. The day-evening-night levels of noise pollution also depend largely on commuting patterns [ 29 , 30 ].…”

Seeking the Nexus Between Building Acoustics and Urban Form: A Systematic Review

“…As regards noise prediction, Zhou et al [ 34 ] generated noise maps for traffic noise in several types of buildings in China, and found that buildings with high-rise and small footprints have the highest noise levels in facades. Also, the parking lot area showed a negative association with the noise from building facades, while the floor space index shows a positive relationship.…”

Relationship between urban development patterns and noise complaints in England

“…There are many urban development pattern indicators related to the sound environment (Badino et al, 2019;Zhou et al, 2016). Through literature reviews, we selected 75 indicators and categorised them into six groups: population, industrial structures, built-up areas, transport networks, commuting, and natural landscapes.…”

“…A number of studies have examined the link between urban planning and environmental noise issues in terms of noise level and sound perception (Alberti, 1999;Zhou et al, 2016). From a noise level perspective, a comparative study by Wang and Kang (2011) demonstrated that there are significant differences in the spatial noise level distribution between highand low-density cities.…”