EconPapers    
Economics at your fingertips  
 

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

Zhiyu Zhou, Jian Kang, Zhe Zou and Hanqi Wang

Environment and Planning B, 2017, vol. 44, issue 3, 570-587

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.

Keywords: Noise mapping; residential block; traffic noise; China (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/0265813516647733 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:envirb:v:44:y:2017:i:3:p:570-587

DOI: 10.1177/0265813516647733

Access Statistics for this article

More articles in Environment and Planning B
Bibliographic data for series maintained by SAGE Publications ().

 
Page updated 2025-03-19
Handle: RePEc:sae:envirb:v:44:y:2017:i:3:p:570-587