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Designing a Sustainable Noise Mapping System Based on Citizen Scientists Smartphone Sensor Data
In this study, we attempted to assess the feasibility of collecting population health data via mobile devices. Specifically, we constructed noise maps based on sound information monitored by individuals’ smartphones. We designed a sustainable way of creating noise maps that can overcome the shortcom...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5023130/ https://www.ncbi.nlm.nih.gov/pubmed/27626273 http://dx.doi.org/10.1371/journal.pone.0161835 |
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author | Shim, Eunyoung Kim, Dohyeong Woo, Hyekyung Cho, Youngtae |
author_facet | Shim, Eunyoung Kim, Dohyeong Woo, Hyekyung Cho, Youngtae |
author_sort | Shim, Eunyoung |
collection | PubMed |
description | In this study, we attempted to assess the feasibility of collecting population health data via mobile devices. Specifically, we constructed noise maps based on sound information monitored by individuals’ smartphones. We designed a sustainable way of creating noise maps that can overcome the shortcomings of existing station-based noise-monitoring systems. Three hundred and nine Seoul residents aged 20–49 years who used Android-based smartphones were recruited, and the subjects installed a special application that we developed for this study. This application collected information on sound and geographical location every 10 min for 7 days. Using GIS, we were able to construct various types of noise maps of Seoul (e.g., daytime/nighttime and weekdays/weekends) using the information on sound and geographical location obtained via the users’ smartphones. Despite the public health importance of noise management, a number of countries and cities lack a sustainable system to monitor noise. This pilot study showed the possibility of using the smartphones of citizen scientists as an economical and sustainable way of monitoring noise, particularly in an urban context in developing countries. |
format | Online Article Text |
id | pubmed-5023130 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-50231302016-09-27 Designing a Sustainable Noise Mapping System Based on Citizen Scientists Smartphone Sensor Data Shim, Eunyoung Kim, Dohyeong Woo, Hyekyung Cho, Youngtae PLoS One Research Article In this study, we attempted to assess the feasibility of collecting population health data via mobile devices. Specifically, we constructed noise maps based on sound information monitored by individuals’ smartphones. We designed a sustainable way of creating noise maps that can overcome the shortcomings of existing station-based noise-monitoring systems. Three hundred and nine Seoul residents aged 20–49 years who used Android-based smartphones were recruited, and the subjects installed a special application that we developed for this study. This application collected information on sound and geographical location every 10 min for 7 days. Using GIS, we were able to construct various types of noise maps of Seoul (e.g., daytime/nighttime and weekdays/weekends) using the information on sound and geographical location obtained via the users’ smartphones. Despite the public health importance of noise management, a number of countries and cities lack a sustainable system to monitor noise. This pilot study showed the possibility of using the smartphones of citizen scientists as an economical and sustainable way of monitoring noise, particularly in an urban context in developing countries. Public Library of Science 2016-09-14 /pmc/articles/PMC5023130/ /pubmed/27626273 http://dx.doi.org/10.1371/journal.pone.0161835 Text en © 2016 Shim et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Shim, Eunyoung Kim, Dohyeong Woo, Hyekyung Cho, Youngtae Designing a Sustainable Noise Mapping System Based on Citizen Scientists Smartphone Sensor Data |
title | Designing a Sustainable Noise Mapping System Based on Citizen Scientists Smartphone Sensor Data |
title_full | Designing a Sustainable Noise Mapping System Based on Citizen Scientists Smartphone Sensor Data |
title_fullStr | Designing a Sustainable Noise Mapping System Based on Citizen Scientists Smartphone Sensor Data |
title_full_unstemmed | Designing a Sustainable Noise Mapping System Based on Citizen Scientists Smartphone Sensor Data |
title_short | Designing a Sustainable Noise Mapping System Based on Citizen Scientists Smartphone Sensor Data |
title_sort | designing a sustainable noise mapping system based on citizen scientists smartphone sensor data |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5023130/ https://www.ncbi.nlm.nih.gov/pubmed/27626273 http://dx.doi.org/10.1371/journal.pone.0161835 |
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