Safe Houses: design principles, potentials and limitations. An analysis through data-driven approaches

Foteini Papadopoulou, Silvio Carta, Ian Owen

Research output: Contribution to conferencePaperpeer-review

Abstract

This paper presents findings on the use of computational design techniques to develop a safe house based on a set of defined design principles. In this study, we explored and established the design principles of safe houses for female victims of sex trafficking that contribute to the overall recovery and reintegration of these women into society. Additionally, we examined and evaluated the use of parametric design as a computational tool, which led to the development of a model for the design of these safe houses. We address this issue by creating a set of desired guidelines based on data research and literature review and testing data-driven techniques, including generative design and models for self-organising floor plans. The paper explores the benefits as well as the possible drawbacks of the design approaches by comparing them to this set of desired guidelines. We present preliminary findings from this analysis and suggest further research directions.
Original languageEnglish
Publication statusIn preparation - 1 Apr 2022

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