Abstract
Full data coverage of urban environments is crucial to monitor the status of the area to detect, for instance, trends and detrimental environmental changes. Collecting observations related to environmental factors such as noise pollution in urban environments through classical approaches implies the deployment of Sensor Networks. The cost of deployment and maintenance of such infrastructure might be relatively high for local and regional governments. On the other hand recent mass-market mobile devices such as smartphones are full of sensors. For instance, it is possible to perform measurements of noise through its microphone. Therefore they become low-cost measuring devices that many citizens have in their pocket. In this paper we present an approach for gathering noise pollution data by using mobile applications. The applications are designed following gamification techniques to encourage users to participate using their personal smartphones. In this way the users are involved in taking and sharing noise pollution measurements in their cities that other stakeholders can use in their analysis and decision making processes.
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References
United Nations: Report about State of the World’s Cities 2010/2011: Bridging the urban divide (2011)
European Parliament: Directive 2002/49/EC of the European Parliament and of the Council of 25 June 2002 relating to the assessment and management of environmental noise (2002)
Bugs, G., Granell, C., Fonts, O., Huerta, J., Painho, M.: An assessment of Public Participation GIS and Web 2.0 technologies in urban planning practice in Canela, Brazil. Cities 27(3), 172–181 (2010)
Nyerges, T., Barndt, M., Brooks, K.: Public participation geographic information systems. In: Proceedings of Auto-Carto 13, Seattle, WA, American Congress on surveying and mapping. Bethesda, MD, pp. 224–233 (1997)
Goodchild, M.: Citizens as Voluntary sensors: spatial data infrastructure in the world of Web 2.0. International Journal of Spatial Data Infrastructures Research 2, 24-32 (2007)
Maisonneuve, N., Stevens, M., Ochab, B.: Participatory noise pollution monitoring using mobile phones. Information Polity 2010 15, 51–71 (2010)
Maisonneuve, N., Stevens, M., Niessen, M., Hanappe, P., Steels, L.: Citizen Noise Pollution Monitoring. In: Proceedings of the 10th International Digital Government Research Conference 2009 (2009)
Zichermann, G., Cunningham, C.: Gamification by Design. Implementing Game Mechanics in Web and Mobile Appls. O’Reilly Media, Inc. (2011)
Richard, B.: Hearts, clubs, diamonds, spades: Players who suits MUDs (1996), http://www.mud.co.uk/richard/hcds.htm
Foerster, T., Jirka, S., et al.: Integrating Human Observations and Sensor Observations – the Example of a Noise Mapping Community. In: Proceedings of Towards Digital Earth Workshop at Future Internet Symposium. Berlin, Germany, September 2010; CEUR-WS: Aachen, Germany, vol. 640 (2010)
Everding, T., Jürrens, E., Andrae, S.: In-stream Validation of Measurements with OGC SWE Web Services. In: Second International Conference on Advanced Geographic Information Systems, Applications and Services, pp. 93–98. IEEE Computer Society (2010)
Goines, L., Hagler, L.: Noise Pollution: A modern plague. Southern Medical Journal 100, 287–294 (2007)
Trombetta Zannin, P.H., BelisárioDiniz, F., Alves Barbosa, W.: Environmental noise pollution in the city of Curitiba, Brazil. Journal of Applied Acoustics 63, 351–358 (2002)
Bilandzic, M., Banholzer, M., Peev, D., Georgiev, V., Balagtas-Fernandez, F., De Luca, A.: Laermometer – A Mobile Noise Mapping Application. In: Proceedings of NordiCHI 2008 (2008)
Maisonneuve, N., Stevens, M., Niessen, M.E.: NoiseTube: Measuring and mapping noise pollution with mobile phones. In: Proceedings of the 4th International ICSC Symposium, Information Technologies in Environtmental Engineering (ITEE 2009), Thessaloniki, Greece, May 28-29 (2009)
D’Hondt, E., Stevens, M., Jacobs, A.: Participatory noise mapping works! An evaluation of participatory sensing as an alternative to standard techniques for environmental monitoring
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Martí, I.G. et al. (2012). Mobile Application for Noise Pollution Monitoring through Gamification Techniques. In: Herrlich, M., Malaka, R., Masuch, M. (eds) Entertainment Computing - ICEC 2012. ICEC 2012. Lecture Notes in Computer Science, vol 7522. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33542-6_74
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DOI: https://doi.org/10.1007/978-3-642-33542-6_74
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