Modeling of Noise Pollution due to Traffic Movement in Mansoura City.
Elagmy, S., Shwaly, S., El-Badawy, S. (2020). Modeling of Noise Pollution due to Traffic Movement in Mansoura City.. EKB Journal Management System, 40(1), 31-40. doi: 10.21608/bfemu.2020.101075
Sania R. Elagmy; Sayed A. Shwaly; Sherif M. El-Badawy. "Modeling of Noise Pollution due to Traffic Movement in Mansoura City.". EKB Journal Management System, 40, 1, 2020, 31-40. doi: 10.21608/bfemu.2020.101075
Elagmy, S., Shwaly, S., El-Badawy, S. (2020). 'Modeling of Noise Pollution due to Traffic Movement in Mansoura City.', EKB Journal Management System, 40(1), pp. 31-40. doi: 10.21608/bfemu.2020.101075
Elagmy, S., Shwaly, S., El-Badawy, S. Modeling of Noise Pollution due to Traffic Movement in Mansoura City.. EKB Journal Management System, 2020; 40(1): 31-40. doi: 10.21608/bfemu.2020.101075

Modeling of Noise Pollution due to Traffic Movement in Mansoura City.

MEJ- Mansoura Engineering Journal
Article 20, Volume 40, Issue 1, March 2015, Page 31-40  XML PDF (568.28 K)
Document Type: Research Studies
DOI: 10.21608/bfemu.2020.101075
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Authors
Sania R. Elagmy email 1; Sayed A. Shwaly2; Sherif M. El-Badawy3
1Demonstrator, Public Works Dept.,Faculty of engineering,Mansoura University, Egypt
2Associate Professor, Public Works Dept.,Faculty of engineering,Mansoura University, Egypt
3Associate Professor., Public Works Department., Faculty of Engineering., El-Mansoura University., Mansoura., Egypt.
Abstract
Noise is one of the most significant sources of environmental pollution in the metropolitan areas. It negatively affects human health, hearing, sleep and sometimes leads to high blood pressure. Road traffic noise is the main source of environmental noise pollution in urban areas. This paper presents a predictive road traffic noise model for Mansoura city based on field noise measurement and different traffic composition and volume.
The proposed model has six explanatory parameters. These parameters are (total traffic vehicle count (Q), Number of lanes, lane width, median width, percent of medium vehicles, and percent of heavy vehicles).The model yield highly accurate noise predictions with coefficient of determination (R2 of 0.94).A sensitivity analysis using the proposed model showed that the most significant parameters on predicted noise levels are the total traffic volume and median width. The proposed road traffic noise model can be effectively used as a decision supporting tool for prediction of road traffic noise in Mansoura City and similar cities in Egypt
Keywords
Noise; Traffic volume; Heavy vehicles, Motorcycles; Regression
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