پژوهش های معماری نوین

تدوین چارچوب مفهومی معماری داده‌محور در عصر هوش مصنوعی با رویکرد پایداری زیست‌محیطی

نوع مقاله : مقاله مروری

نویسندگان

مرضیه شاهرودی کلور 1
حجت الله رشید کلویر 2

1 استادیار گروه هنر و معماری، موسسه آموزش عالی آپادانا، شیراز، ایران.

2 دانشیار، گروه معماری، دانشکده معماری و هنر، دانشگاه گیلان، رشت، ایران

https://doi.org/10.22034/ats.2026.2094020.1051
چکیده
تحولات سریع فناوری‌های دیجیتال و گسترش هوش مصنوعی، موجب شکل‌گیری رویکردهای نوینی در معماری و مدیریت محیط‌های شهری شده است. در این میان، معماری داده‌محور به‌عنوان یکی از مهم‌ترین پارادایم‌های نوظهور، ظرفیت بالایی در بهینه‌سازی مصرف منابع، ارتقای بهره‌وری انرژی و افزایش تاب‌آوری زیست‌محیطی دارد. هدف پژوهش حاضر، تدوین چارچوب مفهومی معماری داده‌محور در عصر هوش مصنوعی با رویکرد پایداری زیست‌محیطی است. این پژوهش از نظر ماهیت، کیفی بوده و با استفاده از مرور نظام‌مند ادبیات و روش تحلیل مضمون انجام شده است. داده‌های پژوهش از طریق بررسی منابع علمی معتبر داخلی و بین‌المللی در حوزه‌های معماری هوشمند، هوش مصنوعی، اینترنت اشیا، دوقلوهای دیجیتال و پایداری زیست‌محیطی گردآوری شد. تحلیل داده‌ها بر اساس رویکرد براون و کلارک انجام گرفت و در فرایند کدگذاری، بیش از ۱۵۰ کد اولیه استخراج و در قالب مضامین سازمان‌دهی شد. یافته‌های پژوهش نشان داد که معماری داده‌محور در عصر هوش مصنوعی بر چهار مضمون اصلی شامل «زیرساخت داده‌محور و هوشمندسازی معماری»، «تحلیل هوشمند و تصمیم‌گیری تطبیقی»، «پایداری و تاب‌آوری زیست‌محیطی» و «حکمرانی، تعامل و بستر اجرایی» استوار است. نتایج همچنین نشان داد که عملکرد این رویکرد بر پایه چرخه‌ای پویا شامل جمع‌آوری داده‌های واقعی‌زمان، تحلیل هوشمند، تصمیم‌گیری تطبیقی و یادگیری مستمر شکل می‌گیرد. چارچوب مفهومی ارائه‌شده بیانگر آن است که تلفیق فناوری‌های داده‌محور و هوش مصنوعی با اصول پایداری می‌تواند زمینه‌ساز توسعه ساختمان‌ها و شهرهای هوشمند، پایدار و تاب‌آور شود. این پژوهش ضمن توسعه ادبیات نظری معماری داده‌محور، می‌تواند مبنایی برای سیاست‌گذاری و طراحی محیط‌های شهری هوشمند در آینده باشد.

کلیدواژه‌ها

معماری داده‌محور
پایداری
تحلیل مضمون
دوقلوی دیجیتال
اینترنت اشیا
معماری هوشمند
موضوعات

عنوان مقاله English

Development of a Conceptual Framework for Data-Driven Architecture in the Era of Artificial Intelligence with a Focus on Environmental Sustainability

نویسندگان English

Marziyeh Shahroudi-Kolour 1
Hojjatollah Rashid-Kolvir 2
1 Assistant Professor, Department of Art and Architecture, Apadana Institute of Higher Education, Shiraz, Iran
2 Associate Professor, Department of Architecture, Faculty of Architecture & Art, University of Guilan, Rasht, Iran
چکیده English

Rapid advances in digital technologies and the expansion of artificial intelligence (AI) have led to the emergence of new approaches in architecture and urban environmental management. In this context, data-driven architecture, as an emerging paradigm, has significant potential to optimize resource consumption, enhance energy efficiency, and strengthen environmental resilience. This study aims to develop a conceptual framework for data-driven architecture in the era of AI with a focus on environmental sustainability. The research is qualitative and employs a systematic literature review and thematic analysis approach. Data were collected from credible national and international sources in the fields of smart architecture, AI, the Internet of Things, digital twins, and environmental sustainability. The analysis followed Braun and Clarke’s thematic analysis method, resulting in more than 150 initial codes organized into coherent themes. The findings reveal that data-driven architecture in the AI era is structured around four main themes: (1) data-driven infrastructure and architectural digitalization, (2) intelligent analysis and adaptive decision-making, (3) sustainability and environmental resilience, and (4) governance, interaction, and implementation context. The results further indicate that this approach operates through a dynamic cycle comprising real-time data collection, intelligent analysis, adaptive decision-making, and continuous learning. The proposed conceptual framework suggests that integrating data-driven technologies and AI with sustainability principles can facilitate the development of smart, sustainable, and resilient buildings and cities. This study contributes to the theoretical advancement of data-driven architecture and provides a foundation for future policymaking and the design of intelligent urban environments.

کلیدواژه‌ها English

Data-driven architecture
Sustainability
Thematic analysis
Digital twin
Internet of Things
Smart architecture
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  • تاریخ دریافت 20 اردیبهشت 1405
  • تاریخ بازنگری 28 تیر 1405
  • تاریخ پذیرش 31 تیر 1405
  • تاریخ اولین انتشار 19 مرداد 1405
  • تاریخ انتشار 01 شهریور 1405

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