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Indicator selection combining audio and visual perception of urban green spaces

Xiang, Yi and Hedblom, Marcus and Wang, Sen and Qiu, Ling and Gao, Tian (2022). Indicator selection combining audio and visual perception of urban green spaces. Ecological Indicators. 137 , 108772
[Research article]

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Abstract

Recent studies revealed the importance of combined qualities of sound and the visual landscape for human wellbeing in urban green spaces (UGS). Yet, there is a lack of implementing urban design and management in urban green enviroments that promotes audio-visual qualities for human well-being. One potential reason for this is the rather scattered results of audio-visual indicators linking either to one single type of green or to studies providing indicators that have not been tested if they are generalizable to other cities. In this study, we use two existing general perception models; perceived affective qualities of soundscape (PAQs) and perceived sensory dimensions of landscape (PSDs) and investigate their combined potential as indicators of audio-visual perception of five different types of urban green spaces and their relationship with overall environmental satisfaction. Principal component analysis, pearson correlation coefficient and multiple linear regression exploring the relationships between PAQs and PSDs and overall environmental satisfaction showed that: (1) Semi-open green space and blue space had the most abundant perceived dimensions in both visual and auditory perceptions, followed by the enclosed green space and open green space, while gray space had the least. (2) Four satisfaction models based on audio-visual perception were found in the urban green spaces. Different design measures in different urban green spaces should be taken. (3) The principal components of PAQs and PSDs explained 48% of overall environmental satisfaction, suggesting the validation of them as auditory and visual prediction models. In conclusion, this study reveals that using a combination of PAQs and PSDs provides indicators that can be used to evaluate differences in audio-visual interactions between cities, to increase the possibilities to plan and design UGS for increasing human well-being.

Authors/Creators:Xiang, Yi and Hedblom, Marcus and Wang, Sen and Qiu, Ling and Gao, Tian
Title:Indicator selection combining audio and visual perception of urban green spaces
Series Name/Journal:Ecological Indicators
Year of publishing :2022
Volume:137
Article number:108772
Number of Pages:10
Publisher:ELSEVIER
ISSN:1470-160X
Language:English
Publication Type:Research article
Article category:Scientific peer reviewed
Version:Published version
Copyright:Creative Commons: Attribution-Noncommercial-No Derivative Works 4.0
Full Text Status:Public
Subjects:(A) Swedish standard research categories 2011 > 4 Agricultural Sciences > 401 Agricultural, Forestry and Fisheries > Landscape Architecture
(A) Swedish standard research categories 2011 > 1 Natural sciences > 105 Earth and Related Environmental Sciences > Environmental Sciences (social aspects to be 507)
Keywords:Landscape, Soundscape, Perceived affective qualities (PAQs), Perceived sensory dimensions (PSDs), Satisfaction
URN:NBN:urn:nbn:se:slu:epsilon-p-117280
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-p-117280
Additional ID:
Type of IDID
DOI10.1016/j.ecolind.2022.108772
Web of Science (WoS)000792763600002
ID Code:28211
Faculty:LTV - Fakulteten för landskapsarkitektur, trädgårds- och växtproduktionsvetenskap
Department:(NL, NJ) > Dept. of Urban and Rural Development
(LTJ, LTV) > Dept. of Urban and Rural Development
Deposited By: SLUpub Connector
Deposited On:02 Jun 2022 14:09
Metadata Last Modified:02 Jun 2022 14:11

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