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Traffic noise in LCA

Part 2: Analysis of existing methods and proposition of a new framework for consistent, context-sensitive LCI modeling of road transport noise emission

  • METHODOLOGY • NOISE
  • Published:
The International Journal of Life Cycle Assessment Aims and scope Submit manuscript

Abstract

Background, aim, and scope

An inclusion of traffic noise effects could change considerably the overall results of many life cycle assessment (LCA) studies. However, at present, noise effects are usually not considered in LCA studies, mainly because the existing methods for their inclusion do not fulfill the requirement profile. Two methods proposed so far seem suitable for inclusion in generic life cycle inventory (LCI) databases, and a third allows for inter-modal comparison. The aim of this investigation is an in-depth analysis of the existing methods and the proposition of a framework for modeling road transport noise emissions in LCI in accordance to the requirement profile postulated in part 1.

Materials and methods

This paper analyzes three methods for inclusion of traffic noise in LCA (Danish LCA guide method, Swiss EPA method, and Swiss FEDRO method) in detail. The additional basis for the analysis are the Swiss road traffic emission model “SonRoad,” traffic volume measurements at 444 sites in the Swiss road network, vehicle-type-specific noise measurements in free floating traffic situations in Germany, and noise emission measurements from different tires.

Results

The Danish LCA guide method includes a major flaw that cannot be corrected within the methodological concept. It applies a dose–response function valid for average noise levels of a traffic situation to maximum noise levels of single vehicles. The Swiss FEDRO method is based on an inappropriate assumption since it bases distinctions of specific vehicles on data that do not allow for such a distinction. Noise emissions cannot be distinguished by the make and type of a vehicle since other factors, especially the tires, are dominant for noise emissions. Several problems are also identified in the Swiss EPA method, but they are not of a fundamental nature. Thus, we are able to base a new framework for vehicle and context-sensitive inclusion of road traffic noise emissions in LCI on the Swiss EPA method. We show how specific vehicle classes can be distinguished, how the influence of different tires can be dealt with, and what temporal and spatial aspects of traffic need to be distinguished.

Discussion

While the Danish LCA guide method and the Swiss FEDRO method are not suitable for our purpose, the Swiss EPA method can be used as a basis to better meet the requirement profile identified in Part 1 of this paper. The proposed method for consistent, context-sensitive modeling of noise emissions from road transports in LCI meets all the requirements except that it is restricted to road transport.

Conclusions

We show limitations of the existing methods and approaches for improving them. Our proposed model allows for a more specific consideration of the various vehicles and contexts in terms of space and time and thus in terms of speed and traffic volume. This can be used on one hand for a consistent, context sensitive assessment of different vehicles in different traffic situations. On the other hand, it also allows for an inclusion of noise in LCA of transports on which only very little is known. This new LCI model meets five of the six requirements postulated in Part 1.

Recommendations and perspectives

In a next step, additional noise emissions due to additional traffic needs to be calculated based on the proposed framework and national or regional traffic models. Furthermore, the consideration of noise from different traffic modes should be addressed. The approach presented needs to be extended in order to make it also applicable for rail and air traffic noise, and the methods need to be implemented in LCI databases to make them easily available to practitioners. Furthermore, suitable impact assessment methods need to be identified or developed. They could base on the proposals made in the Swiss EPA and in the Swiss FEDRO methods.

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Notes

  1. A short description of the existing methods is given in Part 1. Extracts of the original publications of the methods are reproduced in Annex 1 to the Electronic supplementary material (ESM 2).

  2. Extracts of the original publication of the method are reproduced in Annex 1 to the ESM 2.

  3. Extracts of the original publication of the method are reproduced in the Annex 1 to the ESM 2.

  4. No equation for petrol-fueled LDVs above 2 t due to lack of sufficient data.

  5. The difference from the weighted or from the energetic average is negligible.

  6. According to data from (ASTRA and BfS 2006b). It is unclear if this is also true for other European countries.

  7. Calculation of L eq values using Eqs. 1, 2, 3 and 4 with D roll = 0 and D prop = 0. ∆L eq is calculated as L eq(n + ∆n) − L eq(n) according to Müller-Wenk 2002.

  8. Calculated using Eqs. 1, 2 and 3 with D roll,min = −2.28 (average noise level of 165/70 R14 tires − noise level of least noisy 165/70 R14 tire) and D roll,max = 2.20 (average noise level of 165/70 R14 tires − noise level of noisiest 165/70 R14 tire).

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Acknowledgements

We thank Gabor Doka, Ruedi Müller-Wenk and the anonymous reviewers for their valuable comments and inputs to the paper, Kurt Heutschi and Kurt Eggenschwiler from the Empa acoustic laboratory for the fruitful discussions and the Swiss Federal Office for the Environment for financial support.

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Correspondence to Hans-Jörg Althaus.

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Responsible editor: Ralph Rosenbaum

This paper consists of two parts. Part 1 analyzes the background and state of the art of traffic noise assessment in LCA. Part 2 undertakes a detailed analysis of existing methods and proposes a framework for a context-sensitive method for the consistent inclusion of relevant human health effects of generic road transportation noise.

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Althaus, HJ., de Haan, P. & Scholz, R.W. Traffic noise in LCA. Int J Life Cycle Assess 14, 676–686 (2009). https://doi.org/10.1007/s11367-009-0117-1

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  • DOI: https://doi.org/10.1007/s11367-009-0117-1

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