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Electric vehicles and environmental noise: Assessing the noise impact of an electric fleet through strategic noise mapping

Authors: Eoin A. King;

Electric vehicles and environmental noise: Assessing the noise impact of an electric fleet through strategic noise mapping

Abstract

Electric vehicles are fast becoming a reality and are being heralded as a real alternative to the highly polluting internal combustion engine fleet. Often electric vehicles are reported as being silent vehicles and may significantly reduce a population’s exposure to environmental noise. This paper investigates what effect the widespread adoption of an electric fleet would have in a midsize city in the United States. The source level of an electric fleet is estimated by a combination of previous pass-by measurements, published data, and calculation. These estimations are used to develop a noise map of the city assuming an electric fleet. Results are then compared to noise levels assuming the current fleet. Results show that while an electric fleet will improve environmental noise levels within a city, the overall benefit is limited when expressed using a traditional strategic noise map, primarily due to the use of a time averaged Leq indicator. In light of this, alternative metrics to better account for the changing acoustic characteristics of electric vehicles are discussed.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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