Author/Authors :
Golmohammadi ، R نويسنده Occupational Safety and Health Department, School of Public Health, Hamadan University of Medical Sci ences, Iran , , Abbaspour، M نويسنده Dept. of Mechanical Engineering, Sharif University of Technology, Iran , , Nassiri ، P نويسنده Dept. of Occupational Health, School of Public Health, Medical Sciences/ University of Tehran, Iran , , Mahjub، H نويسنده Dept. of Biostatistics, Hamadan University of Medical Sciences, Iran ,
Abstract :
Background: The recognition of road traffic noise as one of the main sources of environmental pollu-tion has led to develop models that enable to predict noise level from fundamental variables. Traffic noise prediction mod els are required as aids for designing roads and highways. In addition, sometimes are used in the assess ment of existing or envisaged changes in traffic noise conditions. In this paper a statisti cal modelling ap proach has been used for predicting road traffic noise in Iranian road condi-tions.
Methods: The study was performed during 2005-2006 in Hamadan city, in the west of Iran. The data set con sisted of 282 noise measurements. The entire data set was utilized to develop a new model for Ira nian condi tion using regression analysis.
Result: The developed model has twelve explanatory variables in order to achieve a proper fit for meas ured val ues of Leq (r2= 0.913).
Conclusion: The proposed road traffic noise model can be effectively used as a decision support tools for predic tion of traffic noise index of Leq(30min), in Iranʹs cities.
