A path model applied to field hearing data on road traffic noise annoyance constructed with the induction method

摘要

It is well known that psychoacoustic annoyance depends on the loudness, the tone color, and the temporal structure of sounds. And then, it is found that noise sensitivity has a large impact on annoyance. However, words representing the degree of annoyance vary with region and other factors. In many papers published up to date, the factors above were not all considered during selection of the rating words. In this paper, path analysis is applied to noise annoyance constructed with the method of reasoning that discovered a general psychological scale from the rating words representing psychological effects for road traffic noise by residents in Nagano City. The model is based on the postulate that an individual's annoyance data obtained through listening tests in the field at vehicle noise sources is a function of 19 antecedent factors. Of these, 14 (traffic volume, heavy vehicles, crossing, traffic lane, kinds of tires, distance, hearing places, garden wall, gender, age, occupations, length of residence, ownership of car and license) are exogenous, that is variables within the model are not dependent on any other factors, and the remaining five (L_(Aeq(5min)), standard deviation, repeated average time of peak levels, average duration time and noise sensitivity) are endogenous. The results show that the strongest direct effects are L_(Aeq(5min)), noise sensitivity, hearing places, distance and kinds of tires. The strongest indirect effects are distance and hearing places. It can be said that the path model can suppose the effects of noise and non-noise factors.