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Noise la,max statistical linear prediction model for ampang line light rail transit (lrt) at residential area along cempaka station

Mohd Na’im, Imsaaiha (2015) Noise la,max statistical linear prediction model for ampang line light rail transit (lrt) at residential area along cempaka station. Masters thesis, Universiti Tun Hussein Onn Malaysia.


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Ampang line Light Rail Transit Train (LRT) trains one of the public transport service provided for Kuala Lumpur and its neighbourhood area to fulfil the mobility demand from the users in Klang Valley. Nonetheless, the effect of this is that the public, especially those living near to the Ampang Line, are exposed to sound problem from the LRT train. This studies are to analyses the noise LA,max field measurement data with the distance 15 m, 25 m and 35 m from the center downtrack and 20 m, 30 m and 40 m from the center uptrack at residential areas, to develop a noise LA,max statistical linear regression prediction model for train LRT Ampang and to predict noise LA,max at residential areas by using statistics linear regression model. The methodology used in this research is primary data. Sixty data noise LA,max from LRT Ampang train were collected and measured based on the distance in this study by using the Sound Level Meter (SLM). The speed was calculated from the measured pass-by time of the head train to back train at point A and the length of the train. The length of trains in this study was constant at 85.536 m. In this study, Statistic SPSS (Version 22) Software was used to establish the statistical liner regression prediction model for LRT Ampang. The result noise LA,max from the field measurement and prediction model shows that the highest was 79.3 dB and 78.5 dB respectively. The lowest noise LA,max field measurement was 70.9 dB and prediction model was 71.0 dB. There no significant difference between the noise LA,max prediction model and field measurements. From the output analysis by the statistic SPSS (version 22) software, it was shown that ANOVA value of the significant are 0.000 which is <0.005. While, the value coefficient determination is 88.5 % (R2= 0.885). The study concludes with some suggestion on future studies on other places with have barriers at residential area.

Item Type: Thesis (Masters)
Subjects: H Social Sciences > HE Transportation and Communications
T Technology > TA Engineering (General). Civil engineering (General) > TA1001-1280 Transportation engineering
Depositing User: Mrs Hasliza Hamdan
Date Deposited: 04 Apr 2016 01:22
Last Modified: 04 Apr 2016 01:22
URI: http://eprints.uthm.edu.my/id/eprint/7914
Statistic Details: View Download Statistic

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