Algorithmic Approaches in space syntax (with an Emphasis on Graph Theory)

The space syntax in the functional plans is the most significant part of every architectural design. The inappropriate space syntax leads to the plan inefficiency in the considered function. Industrial engineers use many algorithms to arrange the factories’ facilities. Given the advances in computer science, it is assumed that algorithms can be applied to achieve the desired space syntax in architectural designs. In order to apply algorithms, it is required to provide methods that algorithms or using them direct the space syntax to apply algorithms. The current research aims to investigate the given primary models based on these methods. The main purpose of this research is to focus on selecting a model that can be used to model spatial relations by emphasizing the functional proximity of spaces in the early stages of design and without involving the designer with dimensions and sizes. Also, this model can be developed to apply dimensions and sizes in the next steps. The given models for each one of these methods are presented using the systematic review method to conduct this research. There are three main models in this regard; the first model includes single-variable optimization. The second model is based on Graph theory, and the third model is related to multi-criteria optimization. Given the importance of the functional proximity of the spaces in the functional plans, and conceptual equivalence of space syntax theory with graph theory, and the possible analysis of its functional relations, the second model is a desirable and flexible model for designers to use.