Evaluation of Traffic Noise Level: A Residential Area Case Study
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Summary
This study investigates traffic noise levels and their contributing factors in a residential area of Kuwait, addressing the growing concern of environmental noise pollution as a health hazard. Motivated by the rapid expansion of road networks and vehicle numbers in developing nations like Kuwait, the research aims to quantify noise exposure during peak and off-peak hours and identify key determinants such as traffic volume, vehicle speed, and meteorological conditions. The study specifically seeks to fill knowledge gaps regarding urban noise exposure in Kuwait, where limited research has previously been conducted. The methodology involved simultaneous monitoring of three distinct road types in the Ishbiliya residential area: a 12-lane expressway, a six-lane major arterial road, and a four-lane collector street. Data collection occurred on October 10, 2021, using Bruel & Kjaer sound level meters to record noise levels at one-minute intervals. Additional instruments captured traffic volume via video cameras, vehicle speeds using radar detectors, and meteorological data including temperature, humidity, and wind speed. Statistical analysis was performed using SPSS-27 to calculate descriptive statistics, Pearson correlation coefficients, and multiple regression models to identify significant predictors of noise levels. The results indicate that traffic noise exceeded allowable limits on all three road types. The average equivalent noise levels ($L_{Aeq}$) were 74.2 dB(A) for the expressway, 70.47 dB(A) for the major arterial road, and 60.84 dB(A) for the collector street, all surpassing the daytime limit of 55 dB(A) for typical residential areas. A positive correlation was found between traffic noise and both traffic volume and the 85th percentile speed. Notably, higher standard deviations in speed, indicative of unstable traffic flow and sudden acceleration or deceleration, strongly correlated with increased noise levels. Meteorological factors showed no significant relationship with noise readings. The study identified abnormal vehicle noise, resulting from poor maintenance or user-enhanced exhaust systems, as a primary contributor to elevated noise levels, particularly on the major arterial road where it caused a nearly 5 dB(A) increase over normal traffic noise. The findings highlight that traffic noise in Kuwait’s residential areas is consistently above regulatory limits, driven significantly by traffic volume, speed variability, and vehicle maintenance issues rather than weather conditions. The study underscores the impact of heavy vehicle presence during off-peak hours and the noise generated by stop-and-go traffic patterns. These results suggest that mitigation strategies should focus on vehicle maintenance enforcement, speed management to reduce acceleration noise, and potentially restricting heavy vehicles during specific times to protect public health in urban residential zones.
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| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | Crossref | — | — | 1 | 2026-06-20 |
| archive | success | canonical_url | — | — | 1 | 2026-06-26 |
| extract | success | cached | — | — | 2 | 2026-06-26 |
| clean | success | clean | — | — | 1 | 2026-06-20 |
| chunk | success | chunk | — | — | 1 | 2026-06-20 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 1 | 2026-06-20 |
| enrich | success | openalex | — | — | 1 | 2026-06-20 |
| promote | success | — | — | — | 1 | 2026-06-20 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 1 | 2026-06-26 |
| tag | success | vector_similarity | — | — | 6 | 2026-06-20 |
| verify | success | — | — | — | 1 | 2026-06-26 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-26; verification: verified.
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