AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
Article Link
Collect
Submit Manuscript
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article

The impact of urban morphology on multiple ecological effects: Coupling relationships and collaborative optimization strategies

Shiwen Zhou1Tiemao Shi1,2( )Sui Li1,3( )Yixin Dong4Jiayi Sun1
School of Architecture and Planning, Shenyang Jianzhu University, Shenyang, Liaoning 110168, China
Institute of Spatial Planning and Design, Shenyang Jianzhu University, Shenyang, Liaoning 110168, China
Institute of Ecological Urban Planning and Green Building, Shenyang Jianzhu University, Shenyang, Liaoning 110168, China
School of Architecture, Tianjin University, Tianjin 300072, China
Show Author Information

Abstract

Urban morphology significantly affects the ecological effects of urban heat islands, ventilation, and atmospheric pollution. Here, we reveal the mechanisms linking the ecological effects of urban morphology to develop a planning approach for the collaborative optimization of multiple ecological effects. Considering Shenyang, a cold city in northern China, as the study area, a multiple regression model of morphological parameters and ecological effects was established, and the impact of morphological parameters on ecological effects was explored. The results show that the aspect ratio of the streets, building density, and vegetation coverage are sensitive to multiple ecological effects. The inflection point of the ecological effect function curve occurs when the aspect ratio of the building and building density are 0.2 and 0.3, respectively. In addition, for optimal design applications in typical areas of the city, to obtain a Pareto-optimal urban morphology, Grasshopper is used to establish a parametric platform, wherein a genetic algorithm solves the multiple regression equation set. Ultimately, five ecological effect indicators are optimized and show 8.4%, 5.0%, 31.6%, 33.1%, and 12.5% improvement. The study effectively constructs a collaborative optimization planning and design method for multiple ecological effects.

Electronic Supplementary Material

Download File(s)
bs-16-8-1539_ESM.pdf (132 KB)

References

【1】
【1】
 
 
Building Simulation
Pages 1539-1557

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
Zhou S, Shi T, Li S, et al. The impact of urban morphology on multiple ecological effects: Coupling relationships and collaborative optimization strategies. Building Simulation, 2023, 16(8): 1539-1557. https://doi.org/10.1007/s12273-023-1057-6

1323

Views

20

Crossref

22

Web of Science

22

Scopus

1

CSCD

Received: 13 April 2023
Revised: 14 June 2023
Accepted: 22 June 2023
Published: 25 July 2023
© Tsinghua University Press 2023