Abstract
Although noise annoyance is a major public health problem in urban areas, noise problem is still a great challenge for both public and transportation planners. The quantitative study of traffic noise and its relationship with annoyance & traffic volume was discussed in the paper and at the same time we tried to develop new statistical regression models to relate them. In the present study we also tried to fit different regression models such as Log-Linear, Linear, Log-Log Linear and Quadratic over noise data and decided which model fitted the best by using mathematics of principle of maxima & minima. After the identification of best fit curve we use this to fit our data. The aim of the study was to assess the predictive value of various factors on noise annoyance in noisy and quiet urban streets of New Delhi, capital of India.
Highlights
The World Health Organization defines the community noise as noise emitted from all sources except the industrial work places
The results demonstrated that Leq demonstrated the best correlation with noise annoyance
In the present study we developed some models to estimate traffic noise annoyance models with respect to traffic noise and traffic volume
Summary
The World Health Organization defines the community noise (or environmental noise) as noise emitted from all sources except the industrial work places. Main sources of community noise include heavy road traffic. Investigations in different countries in different studies in the past several decades have shown that the noise has adverse effects on health [1]-[3]. Noise, which is often referred to as unwanted sound, is characterized by the frequency, periodicity intensity, and duration of sound. Noise annoyance is a feeling of displeasure-irritation or disturbance, and gives a negative effect on community or individual [4]. The term “annoyance” is a core concept in the area of environmental effects, but its meaning varies considerably among experts [5].
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