Next Article in Journal
Adapting to Climate Change: Lessons from Farmers and Peri-Urban Fringe Residents in South Australia
Next Article in Special Issue
An Exploratory Analysis of Sound Field Characteristics using the Impulse Response in a Car Cabin
Previous Article in Journal
Gardening the City: Addressing Sustainability and Adapting to Global Warming through Urban Agriculture
Previous Article in Special Issue
Audio-Visual Preferences and Tranquillity Ratings in Urban Areas
Article Menu
Issue 3 (March) cover image

Export Article

Open AccessArticle
Environments 2018, 5(3), 39; https://doi.org/10.3390/environments5030039

A Method to Estimate Students’ Exposure to Road Traffic Noise Events

1
Department of Industrial Engineering, University of Florence, 50125 Florence, Italy
2
Formerly CNR-Institute of Acoustics and Sensors O.M. Corbino, 00133 Rome, Italy
3
Regional Agency for the Environmental Protection of Tuscany, 50144 Florence, Italy
This paper is a revised and extended version of that presented at the 22th congress on Sound and Vibration held in London.
*
Author to whom correspondence should be addressed.
Received: 24 January 2018 / Revised: 27 February 2018 / Accepted: 1 March 2018 / Published: 5 March 2018
(This article belongs to the Special Issue Sound Environments)
Full-Text   |   PDF [5366 KB, uploaded 5 March 2018]   |  

Abstract

The correlation between exposure to traffic noise and students’ performance and annoyance has been investigated in literature mainly considering the relationship between indoor equivalent A-weighted sound pressure level (LAeq) and students’ cognitive impairment. Annoyance is frequently related to the effect of short-duration noise events characterized by high sound pressure levels, such as those due to aircraft fly-over and pass-by of buses, heavy trucks, motorcycles, or street sweepers. These noise events are often described, over specific measurement periods, in terms of maximum A-weighted sound pressure level, LAmax, or statistical levels, such as LA1 or LA10. This aspect is not considered in the noise maps drawn in accordance with the European Environmental Noise Directive, as they provide the LAeq only, determined over day, evening, and night periods. In this paper, students’ exposure to road traffic noise is analyzed by means of regression equations obtained by the authors between LAeq and A-weighted maximum and statistical levels due to road traffic noise. The traffic noise of 28 urban streets was monitored during the opening period of Italian schools. A method is described to estimate students’ exposure to noise from data made available on noise maps by the municipalities of metropolitan areas. The application of this method to the case study of Florence shows that almost 60% of students from municipal primary and lower secondary schools could be exposed to the maximum sound pressure level (SPL) inside the classroom greater than 55 dB(A) every hour, probably exceeding the typical background noise in classrooms by more than 10 dB. View Full-Text
Keywords: students’ noise annoyance; cognitive impairment; traffic noise; maximum sound pressure level; statistical levels students’ noise annoyance; cognitive impairment; traffic noise; maximum sound pressure level; statistical levels
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Secchi, S.; Brambilla, G.; Casini, D.; Cellai, G. A Method to Estimate Students’ Exposure to Road Traffic Noise Events
. Environments 2018, 5, 39.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Environments EISSN 2076-3298 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top