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Mobile surveys and machine learning can improve urban noise mapping: Beyond A-weighted measurements of exposure.

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Title: Mobile surveys and machine learning can improve urban noise mapping: Beyond A-weighted measurements of exposure.
Authors: Alvares-Sanches T; Faculty of Engineering and Physical Sciences, University of Southampton, Southampton SO17 1BJ, UK; GeoData Institute, School of Geography and Environmental Science, University of Southampton, Southampton SO17 1BJ, UK. Electronic address: ttas1@leicester.ac.uk., Osborne PE; School of Geography and Environmental Science, Faculty of Environmental and Life Sciences, University of Southampton, Southampton SO17 1BJ, UK., White PR; Institute of Sound and Vibration Research, Faculty of Engineering and Physical Sciences, University of Southampton, Southampton SO17 1BJ, UK.
Source: The Science of the total environment [Sci Total Environ] 2021 Jun 25; Vol. 775, pp. 145600. Date of Electronic Publication: 2021 Feb 08.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 0330500 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-1026 (Electronic) Linking ISSN: 00489697 NLM ISO Abbreviation: Sci Total Environ Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Alvares-Sanches+T%22">Alvares-Sanches T</searchLink>; Faculty of Engineering and Physical Sciences, University of Southampton, Southampton SO17 1BJ, UK; GeoData Institute, School of Geography and Environmental Science, University of Southampton, Southampton SO17 1BJ, UK. Electronic address: ttas1@leicester.ac.uk.<br /><searchLink fieldCode="AU" term="%22Osborne+PE%22">Osborne PE</searchLink>; School of Geography and Environmental Science, Faculty of Environmental and Life Sciences, University of Southampton, Southampton SO17 1BJ, UK.<br /><searchLink fieldCode="AU" term="%22White+PR%22">White PR</searchLink>; Institute of Sound and Vibration Research, Faculty of Engineering and Physical Sciences, University of Southampton, Southampton SO17 1BJ, UK.
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  Data: <searchLink fieldCode="JN" term="%220330500%22">The Science of the total environment</searchLink> [Sci Total Environ] 2021 Jun 25; Vol. 775, pp. 145600. <i>Date of Electronic Publication: </i>2021 Feb 08.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>0330500 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1879-1026 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200489697%22">00489697 </searchLink><i>NLM ISO Abbreviation: </i>Sci Total Environ <i>Subsets: </i>MEDLINE; PubMed not MEDLINE
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      – TitleFull: Mobile surveys and machine learning can improve urban noise mapping: Beyond A-weighted measurements of exposure.
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              Text: 2021 Jun 25
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