Enhancing Technologies In Adaptive Reuse: AI Supported Systems

Gamze Akyol; Seda Şimşek

doi:10.53463/ecopers.20240278

Authors

Gamze Akyol Süleyman Demirel University, Graduate School of Natural and Applied Sciences, Department of Architecture, Design and Planning, ISPARTA/Turkey https://orcid.org/0000-0001-6108-9529
Seda Şimşek Süleyman Demirel University, Faculty of Architecture, Department of Architecture, ISPARTA/Turkey https://orcid.org/0000-0002-1881-186X

DOI:

https://doi.org/10.53463/ecopers.20240278

Keywords:

Adaptive Reuse, Artificial Intelligence, Machine Learning, Industrial Heritage, Sustainable Urban Development

Abstract

The adaptive reuse of historical and industrial buildings is pivotal for sustainable urban development, preserving cultural heritage, minimizing environmental impact, and addressing contemporary needs. This paper examines how advanced technologies such as artificial intelligence (AI) and machine learning (ML) can be integrated into the adaptive reuse process. It emphasizes their ability to improve decision-making, refine design solutions, and support sustainable management. AI and ML offer innovative solutions for identifying appropriate uses for repurposed buildings, optimizing structural adjustments, and ensuring alignment with sustainability objectives. The findings highlight the potential of these technologies to bring about significant transformations in architecture and construction, advocating for their conscientious and ethical implementation to strike a balance between tradition and innovation.

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