Predicting and Visualizing Human Soundscape Perception in Large-Scale Urban Green Spaces: A Case Study of the Chengdu Outer Ring Ecological Zone

Yin, Y., Shao, Y., Lu, H. et al. (2 more authors) (2023) Predicting and Visualizing Human Soundscape Perception in Large-Scale Urban Green Spaces: A Case Study of the Chengdu Outer Ring Ecological Zone. Forests, 14 (10). 1946. ISSN 1999-4907

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Item Type: Article
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© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).

Keywords: soundscape; human perception; prediction model; visual–aural attributes; urban green spaces
Dates:
  • Published: October 2023
  • Published (online): 25 September 2023
  • Accepted: 22 September 2023
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Economics and Discrete Choice (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 07 Aug 2024 12:32
Last Modified: 07 Aug 2024 12:32
Published Version: https://www.mdpi.com/1999-4907/14/10/1946
Status: Published
Publisher: MDPI
Identification Number: 10.3390/f14101946
Sustainable Development Goals:
  • Sustainable Development Goals: Goal 11: Sustainable Cities and Communities
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