Li, M; Guo, H; Han, R; Zhang, Y; Kang, J; (2022) Multiple regression model for soundscape perception in urban open spaces based on ex-situ experiments with audios from 27 localities. In: Proceedings of the 24th International Congress on Acoustics. (pp. pp. 1-7). ICA

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Abstract

Soundscape is an essential environmental element affecting people's experience in urban open spaces. In the complex mechanism of soundscape perception, the acoustic characteristics of the soundscape are the primary influencing factor. Herein, we used ISO 12913 soundscape indicators to carry out auditory perception experiments on typical soundscape materials recorded from 27 urban open spaces. The principal indicators pleasantness and eventfulness were calculated from the evaluation results of 68 participants. They were then taken individually to perform multiple regression with factors including psychoacoustic, physical acoustics indicators, the significance of various sound source types, and other indicators characterizing the sound composition. The results showed that: 1) The regression model for pleasantness (Ad R2= 0.703, F=21.48) showed that the significance of bird sounds contributed positively, and the significance of mechanical sounds and the level of S95 in the environment have a negative impact. 2) The regression model for eventfulness (Ad R2=0.676, F=19.05) showed that the number of significant sound sources and the level of F50 in the environment contributed positively. Simultaneously, the significance of mechanical sounds has a negative impact.

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