A path model not only estimates the direct effect of traffic noise on nearby residents but also estimates the indirect effect via other variables. This paper highlights the development of a path model to determine the traffic noise annoyance around seven strategic locations in Dhanbad. The study considers only eight variables but it can be applicable to any number of variables. At the beginning of the analysis a priori path model was constructed and on the basis of the partial regression coefficient value for the different paths, the revised path model was developed. The standardised partial regression coefficients called path coefficients, which show the strength of the linkage among variables, were determined to know the variables strongly related to traffic noise annoyance. Each path in the model was tested for statistical significance at 5% significance level.
[1]
R. Hauser,et al.
The Decomposition of Effects in Path Analysis
,
1975
.
[2]
Eric R. Ziegel,et al.
Applied Multivariate Data Analysis
,
2002,
Technometrics.
[3]
Duncan Cramer,et al.
Quantitative data analysis for social scientists
,
1990
.
[4]
B. Everitt,et al.
Applied Multivariate Data Analysis.
,
1993
.
[5]
N. T. J. Bailey,et al.
Mathematical Models in Biology and Medicine
,
1975
.
[6]
S. M. Taylor,et al.
A path model of aircraft noise annoyance
,
1984
.
[7]
J. Davis.
The Logic Of Causal Order
,
1987
.