INVESTIGATING URBAN TRAFFIC BASED NOISE POLLUTION IN THE CITY OF KIRIKKALE, TURKEY
DOI: 10.3846/1648-4142.2008.23.273-278
archive: archived pipeline: cataloged verified
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Summary
This study investigates traffic-based noise pollution in Kırıkkale, Turkey, a city experiencing rapid industrialization and population growth that has strained its infrastructure. The research aims to quantify noise levels, analyze their relationship with traffic density and vehicle composition, and map spatial variations to inform mitigation strategies. The authors attribute the pollution to increased motorization, unplanned urbanization, inadequate road maintenance, and poor traffic signal coordination. Data were collected at 15 intersections across the city—12 in the center and 3 on the Ankara–Samsun Highway—during three peak periods: morning (08:00–09:00), noon (12:30–13:30), and evening (17:00–18:00). Noise levels were measured using a Jetronl sound meter positioned 3.5 meters from the road edge, while traffic counts categorized vehicles into automobiles, vans/lorries, buses/trucks, and motorcycles/others. The equivalent continuous noise level ($L_{eq}$) was calculated and compared against Turkish Noise and Control Regulations for Settlement Zones. Additionally, spatial noise maps were generated using the Kriging method within ArcView GIS. The results indicated that $L_{eq}$ values exceeded regulatory limits at all 15 stations by 5 to 20 dB(A). Average $L_{eq}$ levels ranged from 92.8 dB(A) at noon to 97.8 dB(A) in the evening. A linear regression between $L_{eq}$ and the logarithm of total traffic volume yielded a low coefficient of determination ($R^2 = 0.52$), suggesting that volume alone does not fully explain noise levels. However, a multiple regression analysis incorporating vehicle types produced a higher correlation coefficient ($r = 0.74$). The correlation matrix revealed that trucks and buses had the strongest individual correlation with noise levels ($r = 0.92$), followed by vans/lorries ($r = 0.63$), motorcycles ($r = 0.48$), and automobiles ($r = 0.30$). Spatial analysis showed higher noise levels in the northern and southern parts of the city, where heavy vehicle traffic and higher speeds are prevalent, compared to the central area dominated by passenger cars. The study concludes that Kırıkkale suffers from severe traffic noise pollution, primarily driven by heavy vehicles and inadequate infrastructure. The findings highlight that vehicle composition is a more significant predictor of noise than total traffic volume. To mitigate these issues, the authors recommend expanding the road network, implementing more efficient traffic signalization, strictly enforcing noise regulations, and educating citizens on the health impacts of noise. The research underscores the need for targeted interventions focusing on heavy vehicle management and urban planning to improve environmental quality.
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| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | Crossref | — | — | 1 | 2026-06-25 |
| archive | success | canonical_url | — | — | 1 | 2026-06-26 |
| extract | success | cached | — | — | 2 | 2026-06-26 |
| clean | success | clean | — | — | 1 | 2026-06-25 |
| chunk | success | chunk | — | — | 1 | 2026-06-25 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 1 | 2026-06-25 |
| promote | success | — | — | — | 1 | 2026-06-25 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 1 | 2026-06-26 |
| tag | success | vector_similarity | — | — | 6 | 2026-06-25 |
| verify | success | — | — | — | 1 | 2026-06-26 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-26; verification: verified.
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