Modelling traffic noise level on roadside traders at Wurukum market area in Makurdi town, Benue state – Nigeria

Adeke, Paul Terkumbur; Atoo, A.A.; Zava, E.A.

doi:10.4314/njt.v37i1.4

Cited by 8 publications

(12 citation statements)

References 3 publications

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“…(20) . The results are also within the range of roadside noise levels in other urban areas such as Taiyuan in China (21) and Makurdi Town in Nigeria (22) . Background noise which L90 represented, ranged between 64.8 and 74.0 dBA at Suci segment.…”

Section: Measured Traffic Noise Levelsupporting

confidence: 68%

Traffic-related Noise at Roadside Schools: Assessment and Prediction in Urban Setting

et al. 2021

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ABSTRAK Kebisingan lalu lintas adalah salah satu ancaman bagi kesehatan masyarakat perkotaan. Paparan bising memberikan efek kesehatan jangka pendek dan panjang, dan efeknya berpotensi lebih buruk pada anak-anak yang belajar di sekolah pinggir jalan. Penelitian ini bertujuan untuk mengkarakterisasi kebisingan lalu lintas jalan di sekolah-sekolah yang terletak di jalan-jalan utama di Bandung, Indonesia serta memberikan rekomendasi mitigasi dan adaptasi untuk pengendalian kebisingan. Kebisingan lalu lintas diperoleh di dua sekolah pinggir jalan terletak di dua jalan utama (Jalan Suci dan Djuanda), beserta data volume dan komposisi lalu lintas, serta kecepatan kendaraan. Pengukuran dilakukan antara jam sekolah selama satu hari yang mewakili lokasi trotoar jalan, depan sekolah, dan halaman sekolah. Parameter tingkat kebisingan yang penting (Leq, L10, L50, L90) diukur, dan dilakukan analisis korelasi antara masing-masing parameter kebisingan. Model CoRTN digunakan untuk memprediksi kebisingan lalu lintas pada jarak tertentu dari jalan raya. Sepeda motor merupakan jenis kendaraan dominan secara berturut 79,1% dan 67,1% dari total volume kendaraan di ruas jalan Suci dan Djuanda. Kendaraan berat menyumbang <1%. Mayoritas kebisingan lalu lintas yang diukur sebagai Leq, L10, L50, L90 melebihi batas maksimum untuk pinggir jalan dan zona sekolah menurut standar internasional dan nasional <55 dBA). Model tersebut berkinerja lebih baik di ruas jalan Djuanda daripada Suci. Jumlah lokasi dan waktu pengukuran yang lebih banyak dapat memberikan penilaian paparan tingkat kebisingan lalu lintas yang lebih baik dengan menggunakan model CoRTN. Hasil penelitian ini diharapkan dapat menjadi masukan kebijakan berbasis pengetahuan bagi pemerintah kota dan lembaga untuk mengurangi dampak bising bagi anak didik. Kata kunci: kebisingan lalu lintas jalan, tingkat kebisingan, Model CoRTN ABSTRACT Noise from road traffic is one of the most ubiquitous threats to the public health in urban setting. Its exposures have proven short-and long-term health effects. and potentially worse for vulnerable population such as children studying at roadside schools. This study aimed to characterize the road traffic noise at schools located at major roads in Bandung, Indonesia. Traffic noise were obtained at 2 roadside schools located at two major roads (Suci and Djuanda roads), along with data on traffic volume and composition, and vehicles speed. The measurement was conducted between school hours during one day-time only at locations representative of roadside, front of the schools, and schoolyard. Important noise level parameters such as Leq, L10, L50, L90 were recorded, and correlation analysis between each parameter was conducted. The CoRTN model was then applied to predict the traffic noise at particular distances from the road. Motorcycles were the predominant vehicle type on both road segments: 79.1% and 67.1% of the total vehicle volume on Suci on Djuanda segments, respectively. Conversely, heavy vehicles accounted <1%. The majority of measured traffic noise determined as Leq, L10, L50, L90 exceeded the maximum limit for roadside and school zone set by the international and national standard (>55 dBA). The model performed better in Djuanda road segment than in Suci segment. More measurement locations and time could provide better assessment of exposure to traffic noise levels at roadside schools using the CoRTN model. Keywords: road traffic noise, noise level, CoRTN model

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Section: Measured Traffic Noise Levelsupporting

confidence: 68%

Traffic-related Noise at Roadside Schools: Assessment and Prediction in Urban Setting

et al. 2021

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“…The limitations of these measuring methods (points) are that other forms of noise, external to traffic, may have infiltrated the noise measured due to the distance of the Sound Level Meter (SLM) from the centre of the road. Secondly, the level of traffic noise decreases with increased distance from the measurement position (Adeke et al, 2018). Therefore, in an attempt to determine the measurement distance for this study, the sound level meter was positioned at a distance of 6.5 m from the centreline of the nearest travel lane of the road.…”

Section: Methods Of Data Collectionmentioning

confidence: 99%

Analysis of Traffic Noise Levels on Land Use in Jos Metropolis, Nigeria

2023

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Traffic noise in urban areas has always been a global issue. This study focuses on the land use analysis of traffic noise levels in the Jos Metropolis. The study was conducted in Jos Metropolis, Plateau State, Nigeria. Twenty-five (25) road corridors were sampled for the study. Measurement points were randomly selected along the road corridors. Traffic noise levels were collected using Sound Level Meter. The sound level meter was positioned at a distance of 6.5 m from the centreline of the nearest travel lane of the road and was held at about 1.5 m high from the ground level. The traffic noise levels data were collected three times a day during peak hour periods from Monday to Saturday. Noise data were measured for 15 minutes at an interval of 6 seconds in each measurement point for six days, making a total of 18 measurements per location. Data sourced from the field were analysed using Mean, Standard Deviation and Analysis of Variance (ANOVA). The study revealed that traffic noise levels in Jos Metropolis in the various land uses exceeded the maximum permissible noise levels recommended by WHO and FEPA. The study recommended the dispersal of land uses through land use allocation

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“…Signal phasing refers to the way in which different traffic signals are timed and synchronized (Adeke et al, 2020). Improper phasing can result in overcrowded roads, delayed bus schedules and wasted fuel.…”

Section: Traffic Volume Geometry Design and Signal Phasingmentioning

confidence: 99%

Evaluation of the Operational Methods for the Analysis of Signalised Intersections

Rahmat,

Md Diah,

Ishak

et al. 2023

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The problem of traffic congestion in urban areas is worse at road intersections. Junction design, traffic light capacity, and driver behaviour are prevalent influences on traffic congestion. Since the traffic signal is one of the traffic controls to alleviate road congestion, adequate traffic capacity with a good design and an optimum delay is the key to improving the signalised junction. Hence, this research aims to determine the performance of signalized junctions with different traffic methods compared to on-site data. Two methods were selected for the analysis: Signalised Intersection Design and Research Aid (SIDRA) and the Malaysia Highway Capacity Manual (MHCM). Prominent signalised intersections along Jalan Kempas in the Kempas neighbourhood of Johor Bahru were selected for this study to measure the length of the vehicle line-up during rush hour. Based on these two (2) methods used, the significant different are related to traffic parameters, namely capacity analysis and level of service and by different conditions of traffic, geometric and type of traffic signal. It was determined that the parameter used for both SIDRA and MHCM is suitable; however, the output of SIDRA resulted in a more similar performance to the site observation. Based on the findings, this research is able to measure the efficiency of traffic assessment tools compared to the actual situation on site and assist the traffic engineer in efficiently investigating and evaluating the performance at signalised junctions.

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Modelling traffic noise level on roadside traders at Wurukum market area in Makurdi town, Benue state – Nigeria

Cited by 8 publications

References 3 publications

Traffic-related Noise at Roadside Schools: Assessment and Prediction in Urban Setting

Traffic-related Noise at Roadside Schools: Assessment and Prediction in Urban Setting

Analysis of Traffic Noise Levels on Land Use in Jos Metropolis, Nigeria

Evaluation of the Operational Methods for the Analysis of Signalised Intersections

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