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Testing some Aspects of Usability of Crowdsourced Smartphone Generated Noise Maps

In this study, the authors evaluate the usability of noise maps generated by students. There are several applications created for collecting crowdsourced noise data to generate noise maps. These applications enable scientists to use the capacity of community, although the raw data is not accessible. In this study, noise maps generated from unprofessional measurements were compared to official maps. The study confirmed that the smartphone applications tested are not capable for scientific measurement; however, tendencies suggest that calibration may lead to reasonably accurate noise level capture. The study also revealed that different mobile applications produce different outputs. This type of user generated noise measurements cannot substitute professional surveys, but provide additional data for strategic noise mapping and monitoring.

Autor / Author: P?dör, Andrea; Révész, András; Ócsai, Attila; Ladomerszki, Zoltán
Institution / Institution: University of Óbuda Székesfehérvár, Hungary; Barnsley Council, UK; University of Óbuda Székesfehérvár, Hungary; University of Óbuda Székesfehérvár, Hungary
Seitenzahl / Pages: 5
Sprache / Language: Englisch
Veröffentlichung / Publication: GI_Forum - Journal for Geographic Information Science, 1-2015
Tagung / Conference: GI_Forum 2015 – Symposium and Exhibit GIScience & Technology/Learning with GI
Veranstaltungsort, -datum / Venue, Date: Salzburg, Austria 07-07-15 - 10-07-15
Schlüsselwörter (de):
Keywords (en): Noisemaps, crowdsourcing, noise levelling
Paper review type: Extended Abstract Review
DOI:
1665 -