JOURNAL ARTICLE
Construction noise annoyance and its evolution: Insights from the Turcot Project longitudinal study.
Published In: Journal of the Acoustical Society of America, 2025, v. 157, n. 5. P. 3590 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Pinsonnault-Skvarenina, Alexis; Carrier, Mathieu; Bockstael, Annelies; Gagné, Jean-Pierre; Leroux, Tony 3 of 3
Abstract
This article focuses on a longitudinal study examining how construction noise levels and associated annoyance evolved over four years during the rehabilitation of the Turcot Interchange, a major highway interchange in Montreal, Canada. The study involved 1,409 residents living within 1,000 meters of the construction site, grouped by proximity, who completed repeated socio-acoustic surveys while noise levels were monitored by 18 autonomous stations. Results showed that although measured noise levels remained relatively stable, reported annoyance—particularly among those living closer to the site—decreased significantly over time. Regression analyses revealed that socio-demographic, psychosocial, and contextual (SCP) variables, including perceived noise exposure in bedrooms, annoyance from other construction nuisances, and feelings of safety, explained most of the variance in annoyance, while actual noise levels and distance to the site accounted for only a small portion. The findings suggest that effective noise mitigation policies should consider these SCP factors and residents' perceptions alongside objective noise measurements to better manage construction noise annoyance in urban settings.
Additional Information
- Source:Journal of the Acoustical Society of America. 2025/05, Vol. 157, Issue 5, p3590
- Document Type:Article
- Subject Area:Social Sciences and Humanities
- Publication Date:2025
- ISSN:0001-4966
- DOI:10.1121/10.0036643
- Accession Number:185593257
- Copyright Statement:Copyright of Journal of the Acoustical Society of America is the property of American Institute of Physics and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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