A Study on Exterior Design Alternatives for Temporary Residential Facilities Using Generative Artificial Intelligence
Source abstract
Abstract
The increasing frequency and severity of natural disasters—such as floods, storms, droughts, and earthquakes—have created a growing demand for temporary housing. These facilities must be rapidly deployed to provide safe, functional living environments for displaced individuals. This study proposes a design methodology for temporary housing exteriors using the text-to-image capabilities of generative artificial intelligence (GenAI) to address urgent post-disaster housing needs. The approach aims to improve both the efficiency and practicality of early-stage design processes. The study reviews global trends in temporary housing and the architectural applications of GenAI, identifying five key environmental factors that influence design: type of disaster, location and climate, duration of residence, materials and structure, and housing design. Based on these factors, hypothetical disaster scenarios were developed using ChatGPT, and corresponding exterior designs were generated using Stable Diffusion. The results show that diverse, scenario-specific design alternatives can be effectively produced using GenAI, demonstrating its potential as a valuable tool in architectural planning for disaster response. Expert evaluation of the generated designs confirmed their ability to adhere to text prompts but revealed a significant gap in terms of architectural plausibility and practical feasibility, highlighting the essential role of expert oversight. This study offers a foundation for expanding GenAI applications in emergency housing systems and supports the development of faster, more adaptable design solutions for communities affected by natural disasters.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Smart Cities and Technologies · BIM and Construction Integration · Disaster Management and Resilience
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Civil & Environment Engineering, University of Science and Technology KICT School, Goyang-si 10223, Republic of Korea
Department of Construction Industry Promotion, Korea Institute of Civil Engineering & Building Technology, Goyang-si 10223, Republic of Korea
Funding
Ministry of Science and ICT
References (43)
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