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April 7, 2026International Journal of Automotive Science And Technology0 citationsOpen Access

Geographic Information System Based Traffic Noise Measurement, Mapping, Modelling in a Historic Settlement Area Included in Cittaslow Network in Türkiye

EKErkan KalıpcıHCHüseyin CÜCEMDMehmet Ali Dereli̇

Key Points

  • This research aims to investigate the use of GIS software for estimating traffic noise levels in a historic district.
  • Utilized MAPANDGIS and ArcGIS software for noise estimation.
  • Conducted noise level measurements at 55 locations in Seferihisar.
  • Collected data using a Type 1 noise measuring device.
  • Analyzed traffic noise levels during three time intervals.
  • Noise levels ranged from 51.7 dBA to 82.4 dBA across measurement locations.
  • Average noise levels were 72.7 dB(A) in the morning, 74.1 dB(A) in the afternoon, and 76.5 dB(A) in the evening.
  • High noise levels were associated with proximity to traffic and commercial buildings.

Abstract

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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Cite This Study

Kalıpcı et al. (2026) studied this question.

synapsesocial.com/papers/69d49fa9b33cc4c35a228114https://doi.org/10.30939/ijastech..1894422
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