Literature DB >> 14714778

The Schultz curve 25 years later: a research perspective.

Sanford Fidell1.   

Abstract

The contemporary technical rationale for assessing effects ("impacts") of transportation noise on communities rests in large part on a purely descriptive dosage-effect relationship of the sort first synthesized by Schultz [J. Acoust. Soc. Am. 64, 377-405 (1978)]. Although U.S. federal adoption of an annoyance-based rationale for regulatory policy has made this approach a familiar one, it is only one of several historical perspectives, and not necessarily the most useful for all purposes. Last reviewed by the U.S. Federal Interagency Committee on Noise (FICON) 10 years ago, the accuracy and precision of estimates of the prevalence of a consequential degree of noise-induced annoyance yielded by functions of noise exposure leave much to be desired. This tutorial article traces the development of the dosage-effect relationship on which FICON currently relies, in a wider historical context of efforts to understand and predict community response to transportation noise. It also identifies areas in which advances in genuine understanding might lead to improved means for predicting community response to transportation noise.

Mesh:

Year:  2003        PMID: 14714778     DOI: 10.1121/1.1628246

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  3 in total

Review 1.  Using mindfulness to reduce the health effects of community reaction to aircraft noise.

Authors:  Andrew J Hede
Journal:  Noise Health       Date:  2017 Jul-Aug       Impact factor: 0.867

2.  Do quiet areas afford greater health-related quality of life than noisy areas?

Authors:  Daniel Shepherd; David Welch; Kim N Dirks; David McBride
Journal:  Int J Environ Res Public Health       Date:  2013-03-27       Impact factor: 3.390

3.  The Covariance between Air Pollution Annoyance and Noise Annoyance, and Its Relationship with Health-Related Quality of Life.

Authors:  Daniel Shepherd; Kim Dirks; David Welch; David McBride; Jason Landon
Journal:  Int J Environ Res Public Health       Date:  2016-08-06       Impact factor: 3.390

  3 in total

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