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Studying the factors that affect urban road noise-case study: El-Tahrir Street, Al-Dokki Cairo, Egypt.
AlyAldin, Rania; Seddiq, Huda; Nour, Walaa; Elboshy, Bahaa.
Afiliação
  • AlyAldin R; Architecture Engineering Department, Faculty of Engineering, Tanta University, Tanta, Egypt. Rania.Abdo@f-eng.tanta.edu.eg.
  • Seddiq H; Acoustic Department, Housing and Building National Research Centre, Cairo, Egypt.
  • Nour W; Architecture Engineering Department, Faculty of Engineering, Tanta University, Tanta, Egypt.
  • Elboshy B; Architecture Engineering Department, Faculty of Engineering, Tanta University, Tanta, Egypt.
Environ Monit Assess ; 196(9): 811, 2024 Aug 14.
Article em En | MEDLINE | ID: mdl-39141150
ABSTRACT
Expanding road networks to accommodate various activities has significantly increased urban noise pollution, adversely affecting human health and quality of life. Numerous factors influence the noise level in urban areas, including road characteristics, traffic characteristics, surrounding buildings, and weather conditions. While previous studies have considered many of these factors individually, this study aims to integrate all relevant variables to comprehensively monitor and analyze their combined effects on noise levels. The objective is to determine the most influential factors that could be incorporated into effective noise reduction strategies. This research focuses on Cairo, one of the most densely populated cities in the world, where high noise levels are a persistent issue. A detailed case study of Tahrir Street in Dokki, Cairo, provides the basis for this investigation. One of the most crowded areas is El-Tahrir Street in Al-Dokki, which was selected as a case study in this research. This area experiences high traffic volume, with up to 1700 vehicles passing through within a 15-min interval. This significant traffic volume is the primary driver of the elevated noise levels in the area. Traffic and noise level monitoring was conducted using a field survey using the sound level meter. Consequently, a statistical analysis was conducted to investigate the correlation between different factors and the noise level and determine the most influential factors. The study revealed that traffic volume and congestion are the most significant factors influencing noise levels on Tahrir Street, exhibiting strong positive correlations (R = 0.38). Additionally, the study found an inverse relationship between vehicle speed and noise level due to high traffic volumes and identified that building characteristics and wind direction also play roles, albeit to a lesser extent.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Monitoramento Ambiental / Cidades / Ruído dos Transportes Limite: Humans País como assunto: Africa Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Monitoramento Ambiental / Cidades / Ruído dos Transportes Limite: Humans País como assunto: Africa Idioma: En Ano de publicação: 2024 Tipo de documento: Article