A Study of Noise & Development of Traffic Noise Annoyance Models

Syed Aqeel Ahmad¹, P. K. Sarkar², Hom Nath Dhungana³

¹Department of Civil Engineering, Integral University, Lucknow, India.
²Department of Transport Planning, School of Planning & Architect, New Delhi, India.
³Integral Institute of Medical Sciences & Research, Lucknow, India.

DOI: 10.4236/jtts.2015.54017                

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.

Keywords

Noise Annoyance, Regression Models, Reliability & Validity, Equivalent Noise Level & Traffic Volume

Conflicts of Interest

The authors declare no conflicts of interest.

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