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  5. Environmental Noise Mapping with Smartphone Applications: A Participatory Noise Map of West Hartford, CT
 
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Environmental Noise Mapping with Smartphone Applications: A Participatory Noise Map of West Hartford, CT

Author(s)
Miller, Lane  
Springthorpe, Christopher  
Murphy, Enda  
King, Eoin A.  
Uri
http://hdl.handle.net/10197/7769
Date Issued
2016-06-15
Date Available
2016-07-21T15:55:14Z
Abstract
This paper reports on the second phase of an on-going study concerning the use of smartphone applications to measure environmental noise at the University of Hartford. This phase involved the development of two strategic noise maps of West Hartford town center: i) a standard noise map developed using traditional mapping techniques and ii) a participatory noise map utilizing smartphone-based measurement data (a citizen-science approach to noise mapping). The objective of the study was to assess the feasibility of developing a noise map using a citizen science based approach. Results suggest that smartphone applications can be used to collect environmental noise data and these data may be used in the development of a participatory noise map.
Sponsorship
Irish Research Council
Other Sponsorship
College of Engineering, Technology and Architecture Faculty Student Engagement Grant at the University of Hartford, USA
Fulbright Scholarship
Type of Material
Conference Publication
Subjects

Noise maps

Noise pollution

Smart phones

Citizen science

Web versions
https://noisecon16.inceusa.org/
Language
English
Status of Item
Not peer reviewed
Journal
Proceedings of Noise-Con 2016, 13-15 June 2016
Conference Details
New England Noise-Con 2016: Revolution in Noise Control, Providence, Rhode Island, USA, 13-15 June 2016
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
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nc16_127.pdf

Size

792.63 KB

Format

Adobe PDF

Checksum (MD5)

0f401093fbf2db79934e87c1261f765a

Owning collection
Architecture, Planning and Environmental Policy Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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