Optimizing community green roof spaces in high-density cities: a K-modes clustering algorithm based analysis of resident preferences and spatial configuration-Reference-Cited by-同舟云学术

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Optimizing community green roof spaces in high-density cities: a K-modes clustering algorithm based analysis of resident preferences and spatial configuration

Published:2024-06-12 Issue: Volume: Page:1-18
ISSN:1346-7581
Container-title:Journal of Asian Architecture and Building Engineering
language:en
Short-container-title:Journal of Asian Architecture and Building Engineering

Author:

Cui Yi-Tong¹²,Zhang Guang-Zhu²³

Affiliation:

1. School of Culture Communication and Design, Zhejiang University of Finance & Economics Dongfang College, Haining, China

2. Department of Public Performing Arts and Culture, Songsim Global Campus, The Catholic University of Korea, Bucheon-si, Korea

3. School of Civil Engineering and Transportation, Northeast Forestry University, Harbin, China

Funder

Zhejiang University

Fundamental Research Funds for the Central Universities Science

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/13467581.2024.2366814

Reference78 articles.

1. Temperature decreases in an urban canyon due to green walls and green roofs in diverse climates

2. The global rise of urban rooftop agriculture: A review of worldwide cases

3. Eating habits and physical activity: Health in Sweden: The National Public Health Report 2012. Chapter 8

4. Rooftop Gardening. A Solution for Energy Saving and Landscape Enhancement in Mediterranean Urban Areas

5. Principles of Research Design in the Social Sciences

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