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Innovation on User-Generated Content for Environmental Noise Monitoring and Analysis in the Context of Smart Cities
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Author(s): Juan Humberto Juárez Hipólito (Instituto Politécnico Nacional, Mexico), Marco Antonio Moreno Ibarra (Instituto Politécnico Nacional, Mexico), Miguel Torres-Ruiz (CIC, Instituto Politécnico Nacional, Mexico City, Mexico), Giovanni Guzmán (Centro de Investigación en Computación, Instituto Politécnico Nacional, Mexico City, Mexico)and Rolando Quintero (Centro de Investigación en Computación, Instituto Politécnico Nacional, Mexico City, Mexico)
Copyright: 2018
Pages: 30
Source title:
Enhancing Knowledge Discovery and Innovation in the Digital Era
Source Author(s)/Editor(s): Miltiadis D. Lytras (The American College of Greece, Greece), Linda Daniela (University of Latvia, Latvia)and Anna Visvizi (Effat University, Saudi Arabia)
DOI: 10.4018/978-1-5225-4191-2.ch013
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Abstract
This work presents an approach based on the concept of Volunteered Geographic Information (VGI) to monitoring environmental noise; it is a problem that specially affects people's quality of life in urban areas. In this work, mobile devices are used to massively collect environmental noise measurements, which are used to generate maps of a specific area and then make a forecast. The difference of this approach with respect to the traditional methods based on monitoring stations is that it is much less costly, which is a major innovation in developing countries. This approach is based on a GIS approach that consists of an application for mobile devices and a web mapping application; including Geospatial Analysis and Machine Learning methods for the acoustic noise prediction using contextual information. With this approach it will be possible to define actions to mitigate the effects of environmental noise, it is aligned in the context of the smart cities. The proposed case study is based on collecting noise data of the Mexico City.
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