Viewpoints of the Architects on Using Artificial Intelligence in Green Architectural Design: A Case Study in the City of Kerman, Iran

In architecture, AI can perform many tasks during the architectural design process, so it is necessary to understand this technology and its advantages and disadvantages, especially for those concerned with environmental and sustainable aspects. There are gaps and ambiguities in relation to the effect of using AI in architecture, especially when it comes to the principles of the green architecture, particularly in Iran. Therefore, the current study was formulated to determine the possibility of AI in supporting green architecture design, to determine the possibility of AI in achieving the principles of green architecture, to examine the architects' viewpoints regarding the role of AI in achieving the principles of green architecture by using a questionnaire, and to determine the most common AI programs used by architects the most. To address the research objectives, a questionnaire was adopted, and back-to-back translated, and distributed among 46 architects who worked in Kerman city, Iran. The data was collected during October 2024, and to analyze, SPSS Version 25 was used. The results of the study showed that to a great extent, AI can support green architecture design because majority of the respondents confirmed that AI can give multiple alternatives to environmental treatments and can help the designer make design decisions to achieve the green architecture principles. Overall, it was concluded that AI can achieve principles of green architecture.

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Publication Details

Journal
Journal of Sustainable Development
Published
2025-04-08
DOI
https://doi.org/10.5539/jsd.v18n3p46
Primary Topic
Urban Design and Spatial Analysis
Type
article
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article

Viewpoints of the Architects on Using Artificial Intelligence in Green Architectural Design: A Case Study in the City of Kerman, Iran

Amin Moghbeli Gharaei, Soheil Salahshour, Elnaz Shirvanisaadatabadi
Journal of Sustainable Development
Urban Design and Spatial Analysis
article

Viewpoints of the Architects on Using Artificial Intelligence in Green Architectural Design: A Case Study in the City of Kerman, Iran

Amin Moghbeli Gharaei, Soheil Salahshour, Elnaz Shirvanisaadatabadi
article en

Abstract

In architecture, AI can perform many tasks during the architectural design process, so it is necessary to understand this technology and its advantages and disadvantages, especially for those concerned with environmental and sustainable aspects. There are gaps and ambiguities in relation to the effect of using AI in architecture, especially when it comes to the principles of the green architecture, particularly in Iran. Therefore, the current study was formulated to determine the possibility of AI in supporting green architecture design, to determine the possibility of AI in achieving the principles of green architecture, to examine the architects' viewpoints regarding the role of AI in achieving the principles of green architecture by using a questionnaire, and to determine the most common AI programs used by architects the most. To address the research objectives, a questionnaire was adopted, and back-to-back translated, and distributed among 46 architects who worked in Kerman city, Iran. The data was collected during October 2024, and to analyze, SPSS Version 25 was used. The results of the study showed that to a great extent, AI can support green architecture design because majority of the respondents confirmed that AI can give multiple alternatives to environmental treatments and can help the designer make design decisions to achieve the green architecture principles. Overall, it was concluded that AI can achieve principles of green architecture.

Journal of Sustainable DevelopmentVol. 18(3)
Openalex Percentile: Top 94%
Urban Design and Spatial Analysis
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Viewpoints of the Architects on Using Artificial Intelligence in Green Architectural Design: A Case Study in the City of Kerman, Iran — Amin Moghbeli Gharaei, Soheil Salahshour, et al. · Journal of Sustainable Development (2025) | TGRS Research Map | TGRS