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Noise estimation model development using high-resolution transportation and land use regression

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Abstract

Noise pollution is a common phenomenon of the 21st century. Noise prediction models tend to estimate noise levels mainly from road traffic sources (such as cars, public transportation etc.). This paper describes the adoption of land use regression (LUR) modeling methodology to assess noise pollution in two periods of the day (rush hour and off-peak), in two major cities in Israel (Tel Aviv and Beer Sheva). For both rush hour and off-peak times, 20 min short term measurements were used to develop a LUR noise estimation model. We used GIS-based predictors alongside commonly used traffic predictors. The findings show good fits for our model, with rush hour “out of sample” ten folds cross-validated R² of 0.79 (Tel Aviv) and 0.52 (Beer Sheva). The Tel Aviv model performance was also tested with independent monitoring data in an adjacent city (Bat Yam), presenting a good performance as well (R² of 0.93). The findings demonstrate the viability of using a LUR approach for applying high-resolution spatial data to estimate and map noise pollution for environmental noise assessment.

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Acknowledgements

The authors kindly thank the Associate Editor and two anonymous Reviewers for their constructive and helpful comments. The authors would also like to thank Dr. Michael Dorman for data management help, and the GIS unit of the municipality of Beer Sheva for providing the necessary data.

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Authors and Affiliations

  1. Department of Geography and Environmental Development, Ben-Gurion University of the Negev, Beer Sheva, Israel

    Omer Harouvi, Eran Ben-Elia & Itai Kloog

  2. The Institute of Criminology, Faculty of Law, The Hebrew University of Jerusalem, Jerusalem, Israel

    Roni Factor

  3. Swiss Tropical and Public Health Institute, Basel, Switzerland

    Kees de Hoogh

  4. University of Basel, Basel, Switzerland

    Kees de Hoogh

Authors
  1. Omer Harouvi
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  2. Eran Ben-Elia
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  3. Roni Factor
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  4. Kees de Hoogh
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  5. Itai Kloog
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Correspondence to Itai Kloog.

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Harouvi, O., Ben-Elia, E., Factor, R. et al. Noise estimation model development using high-resolution transportation and land use regression. J Expo Sci Environ Epidemiol 28, 559–567 (2018). https://doi.org/10.1038/s41370-018-0035-z

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  • DOI: https://doi.org/10.1038/s41370-018-0035-z

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