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The Schultz curve 25 years later: a research perspective.
1Fidell Associates, 23139 Erwin Street, Woodland Hills, California 91367, USA.
The Journal of the Acoustical Society of America
|January 13, 2004
Summary
Current transportation noise impact assessments rely on outdated dosage-effect models. Improved understanding of community noise annoyance is needed for more accurate predictions and effective regulatory policies.
Area of Science:
- Environmental Acoustics
- Community Noise Impact Assessment
- Psychoacoustics
Background:
- The current technical basis for assessing transportation noise impacts relies heavily on descriptive dosage-effect relationships.
- This approach, while adopted by U.S. federal agencies for regulatory policy, is one of several historical perspectives and may not be optimal.
- The accuracy of current models for predicting noise-induced annoyance prevalence is limited, as last reviewed by the Federal Interagency Committee on Noise (FICON) a decade ago.
Purpose of the Study:
- To trace the historical development of the dosage-effect relationship used in transportation noise assessment.
- To provide a broader historical context for understanding community responses to noise.
- To identify areas for advancement in predicting community response to transportation noise.
Main Methods:
- Historical review of dosage-effect relationships in transportation noise research.
- Analysis of the evolution of community noise assessment methodologies.
- Identification of gaps in current understanding of noise annoyance.
Main Results:
- The dominant dosage-effect model for transportation noise assessment has evolved significantly over time.
- Existing models, particularly those informing regulatory policy, have limitations in accuracy and precision.
- A need exists for a deeper understanding beyond simple dose-response to improve predictions.
Conclusions:
- The reliance on a single, descriptive dosage-effect model for transportation noise impacts may be insufficient.
- Further research into the complexities of community response to noise is warranted.
- Advancements in understanding noise annoyance can lead to more effective prediction methods and policies.