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Citizen noise pollution monitoring

Authors: Maisonneuve, Nicolas; Stevens, Matthias; Niessen, Maria E.; Hanappe, Peter; Steels, Luc;

Citizen noise pollution monitoring

Abstract

In this paper we present a new approach to monitor noise pollution involving citizens and built upon the notions of participatory sensing and citizen science. We enable citizens to measure their personal exposure to noise in their everyday environment by using GPS-equipped mobile phones as noise sensors. The geo-localised measures and user-generated meta-data can be automatically sent and shared online with the public to contribute to the collective noise mapping of cities. Our prototype, called NoiseTube, can be found online.

This work was partially supported by the EU under contract IST- 34721 (TAGora). The TAGora project is funded by the Future and Emerging Technologies program (IST-FET) of the European Commission. Matthias Stevens is a Research Assistant of the Fund for Scientific Research, Flanders (Aspirant van het Fonds Wetenschappelijk Onderzoek - Vlaanderen).

Trabajo presentado a la 10th Annual International Conference on Digital Government Research: Social Networks: Making Connections between Citizens, Data and Government, celebrada en Puebla (México) del 17 al 21 de mayo de 2009.

Peer reviewed

Countries
Spain, Netherlands, Belgium
Keywords

participatory sensing, Sustainability, Geo-localisation, Tagging, Noise pollution, Participatory sensing, citizen science, Mobile phones, tagging, Citizen science, mobile phones

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selected citations
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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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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