Integrating GIS in Road Traffic Noise Assessment: A Review of Methods and Applications

Authors

  • Singh Upendrasingh R
  • Shivendra Kumar Jha

Keywords:

Geographic Information Systems (GIS), visualization, scalability

Abstract

Urbanization and increasing vehicular traffic have significantly escalated noise pollution levels, posing health risks and reducing quality of life. Geographic Information Systems (GIS) offer a robust platform for spatial analysis and visualization of noise pollution. This review provides an overview of GIS-based approaches for road traffic noise mapping, focusing on their methodologies, data requirements, modeling techniques, and applications. By analyzing recent studies and tools used in this field, the review highlights the strengths and limitations of current practices and suggests directions for future research to improve accuracy, scalability, and real-time monitoring.

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References

Silvia, R., Hernandez, R., & Cueto, J. L. (2003). Evaluation and prediction of noise pollution levels in urban areas of Cádiz (Spain). The Journal of the Acoustical Society of America, 114(5), 2439. https://doi.org/10.1121/1.4779173

Canter, L. (1996). Environmental impact assessment. McGraw-Hill, New York, pp. 304–340.

Planning the acoustic urban environment: A GIS Centred Approach. (1999). Retrieved from http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.17.211&rep=rep1&type=pdf

Abbaspour, M., Golmohammadi, R., Nassiri, P., & Mahjub, H. (2006). An investigation on time-interval optimization of traffic noise measurement. Journal of Low Frequency Noise, Vibration and Active Control, 25(4), 267–273. https://doi.org/10.1260/026309206779884883

Wazir, A. (2011). GIS-based assessment of noise pollution in Guwahati City of Assam. International Journal of Environmental Sciences, 2(2), 743–751.

Sukru, D., & Celalettin, O. (2006). Noise pollution and map of Konya City in Turkey. Journal of International Environmental Application and Science, 1(1–2), 63–72.

Davis, E., & Bruce, E. (2001). GIS: A visual approach. Cengage Learning, pp. 1–438.

Buckley, D. J. (1990). The GIS primer: An introduction to Geographical Information Systems. Forests and Forestry, pp. 1–184.

Knight, R. (2008). A strategic approach with Modern Physics (3rd ed.). Physics for Scientists and Engineers, pp. 620–629.

The Harmonoise noise prediction algorithm: Validation and use under Australian conditions. (2012, November 23). Retrieved from https://www.acoustics.asn.au/conference_proceedings/AAS2012/papers/p43.pdf

Nord2000: Nordic Noise Prediction Methods.

Yilmaz, G., & Hocanli, Y. (2006). Mapping of noise by using GIS in Sanliurfa. Environmental Monitoring and Assessment, 121(1–3), 103–108. https://doi.org/10.1007/s10661-005-9109-1

Fink, A. (2010). Conducting research literature reviews (3rd ed.). Sage Publications.

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Published

2025-08-11

How to Cite

1.
Upendrasingh R S, Kumar Jha S. Integrating GIS in Road Traffic Noise Assessment: A Review of Methods and Applications. J Neonatal Surg [Internet]. 2025Aug.11 [cited 2025Sep.20];12(1):74-8. Available from: https://www.jneonatalsurg.com/index.php/jns/article/view/8810

Issue

Vol. 12 (2023): Journal of Neonatal Surgery

Section

Original Article

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