Development of Soundscape Design Evaluation Model for High-Density Urban Streets Utilizing Artificial Neural Network

Chen Xing; Lei Yu; Bin Ding; Guoting Zhu; Wenkun Wu; Jingfeng Xia

doi:10.1109/ICCBE65177.2025.11256084

Development of Soundscape Design Evaluation Model for High-Density Urban Streets Utilizing Artificial Neural Network

Chen Xing
, Lei Yu
, Bin Ding^*
, Guoting Zhu
, Wenkun Wu
, Jingfeng Xia

^*Corresponding author for this work

Guangdong Baiyun University
Harbin Institute of Technology Shenzhen

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

High-Density streets in the urban area present challenges for public spaces, particularly regarding the acoustic environment influenced by 'high density'. Traditional design methods aimed at reducing noise levels are ineffective in improving the comfort of high-density streets. In contrast, spatial designs based on the concept of 'soundscape' have demonstrated significant improvements. We examined high-density streets in Shenzhen by analyzing the factors and mechanisms influencing urban soundscape comfort, urban big data, and street soundscape survey results. Using the artificial neural network (ANN) model, a subjective evaluation model for soundscape comfort was developed. The model provides guidance and a foundation for the design of high-density urban streets.

Original language	English
Title of host publication	Proceedings of the 2025 IEEE International Conference on Computation, Big-Data and Engineering, ICCBE 2025
Editors	Teen-Hang Meen
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	430-434
Number of pages	5
ISBN (Electronic)	9798331532444
DOIs	https://doi.org/10.1109/ICCBE65177.2025.11256084
State	Published - 2025
Externally published	Yes
Event	2025 IEEE International Conference on Computation, Big-Data and Engineering, ICCBE 2025 - Penang, Malaysia Duration: 27 Jun 2025 → 29 Jun 2025

Publication series

Name	Proceedings of the 2025 IEEE International Conference on Computation, Big-Data and Engineering, ICCBE 2025

Conference

Conference	2025 IEEE International Conference on Computation, Big-Data and Engineering, ICCBE 2025
Country/Territory	Malaysia
City	Penang
Period	27/06/25 → 29/06/25

Keywords

artificial neural network (ANN)
high-density streets
sound environment
subjective evaluation

Access to Document

10.1109/ICCBE65177.2025.11256084

Cite this

Xing, C., Yu, L., Ding, B., Zhu, G., Wu, W., & Xia, J. (2025). Development of Soundscape Design Evaluation Model for High-Density Urban Streets Utilizing Artificial Neural Network. In T.-H. Meen (Ed.), Proceedings of the 2025 IEEE International Conference on Computation, Big-Data and Engineering, ICCBE 2025 (pp. 430-434). (Proceedings of the 2025 IEEE International Conference on Computation, Big-Data and Engineering, ICCBE 2025). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCBE65177.2025.11256084

Xing, Chen ; Yu, Lei ; Ding, Bin et al. / Development of Soundscape Design Evaluation Model for High-Density Urban Streets Utilizing Artificial Neural Network. Proceedings of the 2025 IEEE International Conference on Computation, Big-Data and Engineering, ICCBE 2025. editor / Teen-Hang Meen. Institute of Electrical and Electronics Engineers Inc., 2025. pp. 430-434 (Proceedings of the 2025 IEEE International Conference on Computation, Big-Data and Engineering, ICCBE 2025).

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title = "Development of Soundscape Design Evaluation Model for High-Density Urban Streets Utilizing Artificial Neural Network",

abstract = "High-Density streets in the urban area present challenges for public spaces, particularly regarding the acoustic environment influenced by 'high density'. Traditional design methods aimed at reducing noise levels are ineffective in improving the comfort of high-density streets. In contrast, spatial designs based on the concept of 'soundscape' have demonstrated significant improvements. We examined high-density streets in Shenzhen by analyzing the factors and mechanisms influencing urban soundscape comfort, urban big data, and street soundscape survey results. Using the artificial neural network (ANN) model, a subjective evaluation model for soundscape comfort was developed. The model provides guidance and a foundation for the design of high-density urban streets.",

keywords = "artificial neural network (ANN), high-density streets, sound environment, subjective evaluation",

author = "Chen Xing and Lei Yu and Bin Ding and Guoting Zhu and Wenkun Wu and Jingfeng Xia",

note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 2025 IEEE International Conference on Computation, Big-Data and Engineering, ICCBE 2025 ; Conference date: 27-06-2025 Through 29-06-2025",

year = "2025",

doi = "10.1109/ICCBE65177.2025.11256084",

language = "英语",

series = "Proceedings of the 2025 IEEE International Conference on Computation, Big-Data and Engineering, ICCBE 2025",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "430--434",

editor = "Teen-Hang Meen",

booktitle = "Proceedings of the 2025 IEEE International Conference on Computation, Big-Data and Engineering, ICCBE 2025",

address = "美国",

}

Xing, C, Yu, L, Ding, B, Zhu, G, Wu, W & Xia, J 2025, Development of Soundscape Design Evaluation Model for High-Density Urban Streets Utilizing Artificial Neural Network. in T-H Meen (ed.), Proceedings of the 2025 IEEE International Conference on Computation, Big-Data and Engineering, ICCBE 2025. Proceedings of the 2025 IEEE International Conference on Computation, Big-Data and Engineering, ICCBE 2025, Institute of Electrical and Electronics Engineers Inc., pp. 430-434, 2025 IEEE International Conference on Computation, Big-Data and Engineering, ICCBE 2025, Penang, Malaysia, 27/06/25. https://doi.org/10.1109/ICCBE65177.2025.11256084

Development of Soundscape Design Evaluation Model for High-Density Urban Streets Utilizing Artificial Neural Network. / Xing, Chen; Yu, Lei; Ding, Bin et al.
Proceedings of the 2025 IEEE International Conference on Computation, Big-Data and Engineering, ICCBE 2025. ed. / Teen-Hang Meen. Institute of Electrical and Electronics Engineers Inc., 2025. p. 430-434 (Proceedings of the 2025 IEEE International Conference on Computation, Big-Data and Engineering, ICCBE 2025).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Xing, Chen

AU - Yu, Lei

AU - Ding, Bin

AU - Zhu, Guoting

AU - Wu, Wenkun

AU - Xia, Jingfeng

PY - 2025

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N2 - High-Density streets in the urban area present challenges for public spaces, particularly regarding the acoustic environment influenced by 'high density'. Traditional design methods aimed at reducing noise levels are ineffective in improving the comfort of high-density streets. In contrast, spatial designs based on the concept of 'soundscape' have demonstrated significant improvements. We examined high-density streets in Shenzhen by analyzing the factors and mechanisms influencing urban soundscape comfort, urban big data, and street soundscape survey results. Using the artificial neural network (ANN) model, a subjective evaluation model for soundscape comfort was developed. The model provides guidance and a foundation for the design of high-density urban streets.

AB - High-Density streets in the urban area present challenges for public spaces, particularly regarding the acoustic environment influenced by 'high density'. Traditional design methods aimed at reducing noise levels are ineffective in improving the comfort of high-density streets. In contrast, spatial designs based on the concept of 'soundscape' have demonstrated significant improvements. We examined high-density streets in Shenzhen by analyzing the factors and mechanisms influencing urban soundscape comfort, urban big data, and street soundscape survey results. Using the artificial neural network (ANN) model, a subjective evaluation model for soundscape comfort was developed. The model provides guidance and a foundation for the design of high-density urban streets.

KW - artificial neural network (ANN)

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KW - sound environment

KW - subjective evaluation

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BT - Proceedings of the 2025 IEEE International Conference on Computation, Big-Data and Engineering, ICCBE 2025

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Xing C, Yu L, Ding B, Zhu G, Wu W, Xia J. Development of Soundscape Design Evaluation Model for High-Density Urban Streets Utilizing Artificial Neural Network. In Meen TH, editor, Proceedings of the 2025 IEEE International Conference on Computation, Big-Data and Engineering, ICCBE 2025. Institute of Electrical and Electronics Engineers Inc. 2025. p. 430-434. (Proceedings of the 2025 IEEE International Conference on Computation, Big-Data and Engineering, ICCBE 2025). doi: 10.1109/ICCBE65177.2025.11256084

Development of Soundscape Design Evaluation Model for High-Density Urban Streets Utilizing Artificial Neural Network

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Keywords

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