Withida PatthanaissaranukoolKulnapa BunnakridTanasri SihabutKing Chulalongkorn Memorial Hospital, Faculty of Medicine Chulalongkorn UniversityMahidol UniversityCenter of Excellence on Environmental Health and Toxicology (EHT)2020-01-272020-01-272019-01-01International Journal of GEOMATE. Vol.17, No.62 (2019), 133-139218629822-s2.0-85067619206https://repository.li.mahidol.ac.th/handle/123456789/49896© Int. J. of GEOMATE. Road traffic is the most significant source of noise in an urban city and is considered not only an environmental nuisance but also a threat to public health. Therefore, this study aimed to determine road traffic noise levels in Phuket Province, including Muang Phuket, Thalang, and Kathu District; and to compare them with predicted noise levels using NMTHAI 1.2. Traffic noise level, traffic volume and speed of vehicles were measured on main roads including Yaowarat, Ratsada, Montri, Patipat, Ban Muangmai, Ban Kain, Ban Lipon, Baramee and Vichitsongkram Road. The results showed that traffic noise in Muang Phuket, Thalang and Kathu Districts were 70.0-70.9, 72.9-74.7 and 74.6-74.8 dBA, respectively. The result revealed that traffic noise levels obtained from the model were higher than measured noise at an average of 4.8±2.3 dBA. A high correlation was observed between predicted and measured traffic noise levels (R2 = 0.655, P < 0.01). Speed of vehicles and traffic volume were key variables affecting traffic noise level with a correlation coefficient of 0.752 and 0.702 at 99% confidence level, respectively. The model performed reasonably well under different traffic noise conditions and could predict traffic noise of other cities in Thailand.Mahidol UniversityAgricultural and Biological SciencesEarth and Planetary SciencesEngineeringEnvironmental ScienceArticleSCOPUS10.21660/2019.62.00305