Noise pollution and regression analysis of sound level in rail transportation (Case study: Tehran)
Document Type : Original Article
Authors
1 Assistant Professor, Department of Civil Engineering, Parand Branch, Islamic Azad University, Parand, Iran.
2 M.Sc., Student, Department of Civil Engineering, North Branch, Islamic Azad University, Tehran, Iran.
10.22034/road.2021.280786.1949
Abstract
Abstract
Background and Purpose: Noise pollution in urban transportation systems is one of the hazards that can always endanger the health of passengers and affect their use of public transportation.
Method: Noise pollution was assessed on station platforms, passenger cars as well as train wagons. According to the sound level data of the stations and the collected data, the modeling was done using a regression linear model. Using correlation analysis, the effect of various factors on noise pollution index was investigated.
Findings: The equivalent noise level index in a certain period of time Leq in Nawab station is more than the other 3 stations that the initial assumption about the noise pollution rate is higher due to the large number of passengers. Also Sanat Square was the quietest station among the studied stations. The equivalent sound level was picked up at a certain point in Leq at Nawab Station 83 and Sanat Square 77, which is another initial assumption about the recorded environmental pollution and lack of close monitoring.
Conclusion: The permissible noise pollution limit (65 decibels) has been higher in most of the measured points, so that in Maidan Sanat station, which was the quietest station at the time of train arrival and departure, the equivalent sound level of 77 decibels was collected. Has been above the standard.
Background and Purpose: Noise pollution in urban transportation systems is one of the hazards that can always endanger the health of passengers and affect their use of public transportation.
Method: Noise pollution was assessed on station platforms, passenger cars as well as train wagons. According to the sound level data of the stations and the collected data, the modeling was done using a regression linear model. Using correlation analysis, the effect of various factors on noise pollution index was investigated.
Findings: The equivalent noise level index in a certain period of time Leq in Nawab station is more than the other 3 stations that the initial assumption about the noise pollution rate is higher due to the large number of passengers. Also Sanat Square was the quietest station among the studied stations. The equivalent sound level was picked up at a certain point in Leq at Nawab Station 83 and Sanat Square 77, which is another initial assumption about the recorded environmental pollution and lack of close monitoring.
Conclusion: The permissible noise pollution limit (65 decibels) has been higher in most of the measured points, so that in Maidan Sanat station, which was the quietest station at the time of train arrival and departure, the equivalent sound level of 77 decibels was collected. Has been above the standard.
Keywords
-فتحی، س.، (2015)، "بررسی میزان آلودگی صوتی در منطقه 5 تهران"، فصلنامه علوم و تکنولوژی محیط زیست، ص.8-1.
-سالارپور، م. م. وزیری، م. جعفری کنگ، بررسی وضعیت آلودگی صوتی و عوامل موثر بر آن در ایستگاههای متروی شهر تهران، شانزدهمین کنفرانس بینالمللی مهندسی حمل و نقل و ترافیک، معاونت و سازمان حمل و نقل ترافیک.
-کریمی، ا. و همکاران، (1396)، "بررسی وضعیت آلودگی صوتی در 4 ایستگاه مترو -تهران"، ششمین همایش ملی مدیریت آلودگی هوا و صدا، انجمن علمی هوای پاک.
-حسنی، ف. و همکاران (1391)، " بررسی آلودگی صدای ناشی از ترافیک وسایل نقلیه در محدوده بازار بزرگ شهر تهران"، دومین کنفرانس برنامهریزی و مدیریت محیط زیست. دانشگاه تهران.
-منصوره، ح.، (1389)، "بررسی آلودگی صوتی در راه آهن شهری و حومه تهران".
-Gudmundsson, H. and M. Höjer, (1996), “Sustainable development principles and their implications for transport”, Ecological economics, 19(3),
pp. 269-282.
pp. 269-282.
-Kenworthy, J.R., (2006), “The eco-city: ten key transport and planning dimensions for sustainable city development”, Environment and urbanization, 18(1), pp. 67-85.
-Lumsdon, L., (2008), “Transport and tourism: cycle tourism–a model for sustainable development?”, Journal of Sustainable Tourism, 8(5), pp. 361-377.
-Mohammadi, A., et al., (2016), “Noise pollution measurement in crowded areas of Neyshabur during primary three months of 2015”, Journal of Research in Environmental Health, 2(4), pp. 276-84.
-Moon, F.C., (2008), “Superconducting levitation: Applications to bearings and magnetic transportation”, John Wiley & Sons.
-Sadeghi, A. and B.M. MehrafshanF, (2019), “Sources of Noise Pollution in Mashhad Railway Station. Archives of Occupational Health, 3(2), pp. 318-24.
-Sampaio, B.R., O.L. Neto, and Y. Sampaio, (2008), “Efficiency analysis of public transport systems: Lessons for institutional planning, Transportation research part A: policy and practice, 42(3), pp. 445-454.
-Tavakoli, A., et al., (2019), “Evaluation of Equivalent Level and Distribution of Noise Pollution by Geographic Information System (GIS) in Zone
1- Region 6 of Tehran
A Case Report”, Journal of Rafsanjan University of Medical Sciences,
(2016-17), 17(11), pp. 1077-1092.
1- Region 6 of Tehran
A Case Report”, Journal of Rafsanjan University of Medical Sciences,
(2016-17), 17(11), pp. 1077-1092.
-Vogiatzis, K. and H. Mouzakis, (2018), “Ground-borne noise and vibration transmitted from subway networks to multi-storey reinforced concrete buildings”, Transport, 33(2),
pp. 446-453.
pp. 446-453.
-Xu, S.Y., C. Jiang, and L. Huang, (2019), “Public health impacts from subway noise: Case study Hong Kong”, The Journal of the Acoustical Society of America, 145(3), pp. 1867-1867.