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Urban green space sound sources play an important role in providing people with high quality recreation experiences. However, the evaluation index for urban green space sound sources is still limited. The main purpose of this study is to propose indices for soundscape diversity in urban green spaces, compare soundscape diversity with acoustic diversity, and understand the role of soundscape diversity in urban green spaces. In our field investigation, the sound sources of 30 sample sites were recorded over a five-minute period, and the soundscape diversity index (SDI), soundscape richness index (SRI), soundscape dominance index (SDO), and soundscape evenness index (SEI) were calculated. The results showed that soundscape diversity indices are more suitable for the evaluation of urban green space sound diversity than acoustic diversity indices. There is a significant correlation between soundscape diversity and urban green space landscape patterns, and there is a varied relationship between soundscape diversity and sound perception in different urban green spaces. Soundscape diversity can be explained by existing objective acoustic indicators, which can explain 55% of SDI model variations, 71% of SRI model variations, 43% of SDO model variations, and 32% of SEI model variations. Soundscape diversity can be applied to future urban green space planning and acoustic environment design.

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Improving the evaluation criteria for the soundscape of urban green spaces is essential for the purposes of designing and planning. Nevertheless, studies that focus on the significance of soundscape diversity in such evaluations have been very limited. Furthermore, the relationship between soundscape diversity and the indicators used to evaluate soundscape in urban green spaces remains unclear. The present study investigates the relationship by conducting a soundscape survey across 30 green spaces to derive four soundscape diversity indices: the soundscape diversity index (SDI), soundscape richness index (SRI), soundscape dominance index (SDO), and soundscape evenness index (SEI). The findings indicate that soundscape diversity significantly influence sound preference, perceived affective quality, and the overall soundscape assessment, especially in traffic-noise-dominated and natural-sounds-dominated green spaces. Additionally, sound preference and perceived affective quality were found to act as intermediary factors between soundscape diversity and the overall soundscape assessment. The mediating effect was responsible for 23.7%, 24.5%, and 84.3% of the total effect in three types of green space, respectively. Therefore, the ideal soundscape diversity in urban green spaces depends on their specific type, rather than a simple "more is better" or "less is better" approach. Correspondingly, the use of soundscape diversity as a novel evaluation indicator can be employed for the assessment and design of soundscape in urban green spaces in future studies. • SD significantly influence PRE, PAQ, and OSA. • PRE and PAQ are intermediaries through which SD influences OSA. • Soundscape diversity can be used to adjust soundscape evaluation. [ABSTRACT FROM AUTHOR]

[Display omitted] • Soundscape diversity suitable for describing sound diversity in urban green spaces. • Soundscape diversity correlated with landscape patterns in urban green spaces. • Soundscape diversity correlated with sound perception in urban green spaces. • Soundscape diversity could be explained by existing acoustic indicators. Urban green space sound sources play an important role in providing people with high quality recreation experiences. However, the evaluation index for urban green space sound sources is still limited. The main purpose of this study is to propose indices for soundscape diversity in urban green spaces, compare soundscape diversity with acoustic diversity, and understand the role of soundscape diversity in urban green spaces. In our field investigation, the sound sources of 30 sample sites were recorded over a five-minute period, and the soundscape diversity index (SDI), soundscape richness index (SRI), soundscape dominance index (SDO), and soundscape evenness index (SEI) were calculated. The results showed that soundscape diversity indices are more suitable for the evaluation of urban green space sound diversity than acoustic diversity indices. There is a significant correlation between soundscape diversity and urban green space landscape patterns, and there is a varied relationship between soundscape diversity and sound perception in different urban green spaces. Soundscape diversity can be explained by existing objective acoustic indicators, which can explain 55% of SDI model variations, 71% of SRI model variations, 43% of SDO model variations, and 32% of SEI model variations. Soundscape diversity can be applied to future urban green space planning and acoustic environment design. [ABSTRACT FROM AUTHOR]