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Crowdsourced noise mapping

Authors: Pap, Ákos;

Crowdsourced noise mapping

Abstract

Noise. It is around us, everywhere, all the time. It is hard to control, hard to shut out. It affects our health, sometimes even without us noticing it. Noise is one form of pollution, and is causing annoyance and other health effects. Therefore, the Norwegian government set a national goal to reduce noise pollution from 1999 levels by 10% until 2020, but this process is not going as well as it should. The motivation of this project is to help reach the goal by highlighting areas that need most attention. The goal of this thesis is to explore a novel approach to measuring outdoor noise levels, with better spatial and temporal coverage. In the current approach, professionals use high quality equipment to measure a smaller area, then extrapolate from this data. This method potentially ignores other noise sources and amplifying or attenuating effects of the environment. In addition, it is quite costly. In contrast, my approach delegates the task to local citizens, and leverages the powerful and ubiquitous smartphones. An application runs in the background and repetitively measures the noise level, processes and uploads it to a server. There it is aggregated and displayed as a noise map to anybody interested.

Country
Norway
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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
Average
Green