ijastech International Journal of Automotive Science And Technology 2587-0963 Otomotiv Mühendisleri Derneği 10.30939/ijastech..1894422 Mechanical Vibrations and Noise Mekanik Titreşimler ve Gürültü Geographic Information System Based Traffic Noise Measurement, Mapping, Modelling in a Historic Settlement Area Included in Cittaslow Network in Türkiye https://orcid.org/0000-0002-1908-5468 Kalıpcı Erkan GİRESUN ÜNİVERSİTESİ https://orcid.org/0000-0002-3590-681X Cüce Hüseyin GİRESUN ÜNİVERSİTESİ https://orcid.org/0000-0003-0575-1316 Dereli Mehmet Ali GİRESUN ÜNİVERSİTESİ https://orcid.org/0009-0000-4492-8407 Tural Salih Sancar NEVSEHIR UNIVERSITY 04 05 2026 10 1 260 269 02 21 2026 03 30 2026 Copyright © 2016, International Journal of Automotive Science And Technology 2016 International Journal of Automotive Science And Technology

The objective of this study is to present an investigation into the use of MAPANDGIS and ArcGIS, a Geographic Information System (GIS) software, in estimating traffic noise levels at varying intervals in the district centre of Seferihisar, a 3000-year-old settlement. The measurement of traffic noise levels was conducted using a Type 1 noise measuring device. The range of noise levels was determined to be from 51.7 dBA to 82.4 dBA at 55 locations where noise measurements were conducted. The noise levels at 14 different measurement stations on the İzmir-Seferihisar highway were 72.7 dB(A) on average between 7:00 and 9:00 in the morning, 74.1 dB(A) on average between 12:00 and 14:00 in the afternoon, and 76.5 dB(A) on average between 19:00 and 21:00 in the evening. It has been demonstrated that noise maps prepared at varying intervals reveal that location in close proximity to thoroughfares and commercial buildings experience elevated noise levels due to increased traffic from vehicles and pedestrians. Practicable recommendations are presented from a technical, urban design, and behavioural perspective with a view to minimising the negative impact of traffic-related noise levels on human health. The study under discussion highlights the potential importance of the proposed MAPANDGIS software prediction model in noise mapping as a vital tool for estimating traffic noise levels and establishing noise reduction strategies in a pilot-scale residential area in Türkiye.

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