Contribution of soundscape appropriateness to soundscape quality assessment in space: a mediating variable affecting acoustic comfort

TL;DR

This study investigates how soundscape appropriateness mediates the effect of sound sources on acoustic comfort in urban parks, highlighting spatial heterogeneity and implications for urban planning.

Contribution

It introduces a combined mediation and geographically weighted regression model to analyze the mediating role of soundscape appropriateness in soundscape quality assessment.

Findings

Soundscape appropriateness mediates the impact of natural, traffic, and commercial sounds on acoustic comfort.

Spatial heterogeneity affects the mediation effect, requiring local models for accurate assessment.

Enhancing soundscape appropriateness through landscape design can improve urban soundscape quality.

Abstract

Soundscape appropriateness (SA) provides supplemental information on the matching degree between auditory information and the surrounding scene in soundscape perception. This indicator has been integrated into the standard ISO process for collecting soundscape data, forming a component of the sound quality assessment questionnaire. However, its role in soundscape quality assessment has not been fully understood. Herein, we present the findings from soundscape data collected from Beiling Park in Shenyang, China. A method was developed that integrates mediation effect models with multiscale geographically weighted regression models to explore the mediating role of SA in the impact of sound source types on soundscape quality, as well as the spatial heterogeneity of this mediation effect. The results confirm that SA does mediates the influence of sound source types on acoustics comfort (AC). Specifically, natural sounds (indirect effect/total effect = .19/.19), traffic sounds (indirect effect/total effect = -.46/-.65), and commercial sounds (indirect effect/total effect = -.25/-.12) impact the perception of AC by either enhancing or reducing SA. Moreover, the relationships among variables depicted in this model demonstrate spatial heterogeneity, demonstrating that in urban open spaces with complex constructures, local spatial models may be needed for soundscape assessment. The research reaffirms the significance of SA in urban open spaces. In terms of practical implications for urban and landscape planners, when sound sources cannot be controlled or altered, coordinating between the sound and the surrounding environment through landscape optimisation could also improve the quality of the soundscape through enhancing SA and help achieve the goal of creating healthy urban open spaces.