Abstract:
The objective of this study is to construct the elevated mass rapid transit noise model. Data for this study is collected from the BTSC project which is the first elevated mass rapid transit system operated in Bangkok. Collecting of data is done on the mid block basic at the location approximately in the middle between the elevated MRT station, and it is consisted of MRT noise in Leq(1-hr), Traffic noise in Leq(1-min), MRT noise spectrum plot and other noise generating parameters such as number of trains and train length, train speed, distance of building facades on both sides of MRT track. All of this parameters are statistically tested to observe their correlations to the noise of MRT. The final model is then built from these highly correlated parameters by using multiple regression analysis with the step wise regression technique. The two separated goodness of fit test of model were detect on both of the Paired t-Test technique. The statistical test of this model shows the significant in the goodness-of-fit test to the field observation data. Therefore, it can be effectively use for the forecasting of elevated type of mass rapid transit noise in the city of Bangkok.