Participatory noise pollution monitoring using mobile phones
Bibliographic Data
| ID | 12839286 |
|---|---|
| Authors | Nicolas Maisonneuve (Sony Computer Science Laboratories), Matthias Stevens (0000-0001-6636-0672, Vrije Universiteit Brussel, corresponding author), Bartek Ochab (Sony Computer Science Laboratories) |
| Year | 2010 |
| Volume | 15 |
| Issue | 1,2 |
| Pages | 51-71 |
| Publication date | 2010-08-04 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Information Polity (JOURNAL) |
| Journal identifiers | ISSN: 1875-8754 • E-ISSN: 1570-1255 |
| Publisher | IOS Press (PUBLISHER • NL) |
| DOI | 10.3233/ip-2010-0200 |
| OpenAlex | W1593082705 |
| Language | EN |
| Citations received | 10 |
| References cited | 2 |
Noise pollution is a major problem in cities around the world. The current methods to assess it neglect to represent the real exposure experienced by the citizens themselves, and therefore could lead to wrong conclusions and a biased representations. In this paper we present a novel app roach to monitor noise pollution involving the general public. Using their mobile phones as noise sensors, we provide a low cost solution for the citizens to measure their personal exposure to noise in their everyday environment and participate in the creation of collective noise maps by sharing their geo-localized and annotated measurements with the community. Our prototype, called NoiseTube, can be found online [1]
Acoustics · Business · Citizen journalism · Citizen science · Computer security · Data science · Environmental Noise · Environmental planning · Environmental resource management · Internet privacy · Neglect · Noise (video · Noise pollution · Noise reduction · Participatory sensing · World Wide Web · Computer Science · Environmental Science · Innovative Human-Technology Interaction · Mobile Crowdsensing and Crowdsourcing · Psychology · Radio, Podcasts, and Digital Media · Artificial Intelligence · Pollution
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| Unique citing works | 10 |
|---|---|
| Citations per year | 0,77 |
| Citation span | 2013 - 2024 (12) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 10 |