Open AccessThe effect of traffic volume on noise of housing and shopping area of Manggala District
Author(s) -
N. M. Kamal,
Yamin Jinca,
Shirly Wunas
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/473/1/012127
Subject(s) - traffic volume , noise pollution , noise (video) , data collection , transport engineering , road traffic , neighbourhood (mathematics) , geography , residential area , volume (thermodynamics) , real estate , noise level , environmental science , computer science , telecommunications , business , civil engineering , engineering , statistics , mathematics , noise reduction , mathematical analysis , physics , finance , sound pressure , quantum mechanics , artificial intelligence , image (mathematics)
Pollution includes environmental problems that threaten major cities in Indonesia, especially those originating from motor vehicle emissions and the effect of noise on health. This study aims to determine how the impact of traffic volume with noise by looking at the functional aspects of buildings along the road. This study measured the noise and data collection of traffic volume on the Main street in the neighbourhood between the sub-districts of Manggala, Makassar. Data collection comes from primary data, namely, data from research results and secondary data, library search. The results of the data collection were obtained, namely the volume of vehicles higher on Friday, namely on the road of DR J Leimena, which is 531 units of vehicles, the lowest in the Bukit Baruga housing estate. The more vehicles, the higher the noise level. The results of noise measurements at the research location indicate that in the Bukit Baruga residential area the maximum range is 53 dB, on the LAN 63 dB and the road Dr. J. Leimena - Jalan Antang Raya is around 65 dB, referring to KEP.48/MENLH/11/1996, November 25, 1996. The results of the communication disruption questionnaire are quite disturbing to the community. This study concludes that the noise level prediction model is directly proportional to the volume of traffic and is influenced by factors of road conditions (flat and elevation) and the distance from occupancy to the road.