An Algorithmic Approach for Spatial Design of Post-Disaster Settlements Considering Prolonged Stays

Authors

  • Mertcan Yürekli Architectural Design Computing MSc, Informatics Institute, Istanbul Technical University, Istanbul, Türkiye
  • Ahmet Gün Department of Architecture, Faculty of Architecture, Istanbul Technical University, Istanbul, Türkiye

DOI:

https://doi.org/10.38027/ICCAUA2026EN0462

Keywords:

Post-disaster settlements, Computer-aided algorithmic design, CAAD, Spatial design, Incremental design, User modifications

Abstract

Post-disaster settlement designs often prioritize urgent needs while overlooking the frequently observed reality of prolonged occupancy. The neglect of diverse long-term needs and expectations commonly leads residents to undertake costly and uncoordinated modifications. This study proposes the creation of spatial variety within the parcels of individual dwelling units in order to enrich and support future modification possibilities. Spatial variety is achieved through the combination of two spatial properties—open/semi-open space and hard/soft ground conditions—resulting in four spatial configurations within each parcel. This approach is developed in relation to the principles of incremental design and long-term experiential quality that is livability. Employing a research-by-design methodology, the study develops a generative algorithm capable of generating spatial configurations of post-disaster settlements while respecting the widely-accepted dimensional standards. The model is tested through a pilot settlement scenario. The findings demonstrate that generative algorithmic approach can support diverse user expectations in post-disaster settlements.

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Published

2026-07-08

How to Cite

Yürekli, M., & Gün, A. (2026). An Algorithmic Approach for Spatial Design of Post-Disaster Settlements Considering Prolonged Stays. Proceedings of the International Conference of Contemporary Affairs in Architecture and Urbanism-ICCAUA, 9(1), 2610462. https://doi.org/10.38027/ICCAUA2026EN0462

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