An objective method of street classification for noise studies. (1st December 2018)
- Record Type:
- Journal Article
- Title:
- An objective method of street classification for noise studies. (1st December 2018)
- Main Title:
- An objective method of street classification for noise studies
- Authors:
- Gómez Escobar, Valentín
Pérez, Carlos J. - Abstract:
- Abstract: An average daily traffic (ADT)-based street classification method to assess urban noise has been experimentally analysed. Different statistical tests were applied to the noise levels and traffic flows measured in a medium-sized city (Mérida, Spain). The ADT-based classification method was compared to a previously proposed categorization method. The results obtained showed that not all of the statistical tests provided similar results, and that the ADT-based classification method provided good results with less overlapping categories/levels. It also showed a better classification of sampling points than the one obtained when applying the categorization method. Advantages and drawbacks of each classification procedure are discussed.
- Is Part Of:
- Applied acoustics. Volume 141(2018)
- Journal:
- Applied acoustics
- Issue:
- Volume 141(2018)
- Issue Display:
- Volume 141, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 141
- Issue:
- 2018
- Issue Sort Value:
- 2018-0141-2018-0000
- Page Start:
- 162
- Page End:
- 168
- Publication Date:
- 2018-12-01
- Subjects:
- Noise mapping -- Sampling selection methodology -- Statistical analysis -- Traffic flow
Acoustical engineering -- Periodicals
Periodicals
620.2 - Journal URLs:
- http://www.sciencedirect.com/science/journal/0003682X ↗
http://www.elsevier.com/journals ↗
http://www.elsevier.com/homepage/elecserv.htt ↗ - DOI:
- 10.1016/j.apacoust.2018.07.003 ↗
- Languages:
- English
- ISSNs:
- 0003-682X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1571.400000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 12414.xml