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

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Bibliographic Details
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
Description
ISSN:1879-1026
DOI:10.1016/j.scitotenv.2021.145600