Human behaviour simulation using space syntax methods
ENCity is a multi-layered structure of social, cultural, and economic aspects and their relationship through the physical space. Recognition of some patterns in those relationships is the essence for defining fragmentations in urban fabric and suggesting solutions on how those fragmentations could be solved. The article analyses how different space syntax methods can be used to find patterns in the chosen urban environment. Space syntax allows to find urban relationships between physical environment and human behavior. Space syntax suggests a few different approaches on how these relationships could be simulated: Segment Analysis perceives environment as a network of paths or streets, visibility graph analysis concentrates on inter-visual relationships, while agent-based analysis uses simple artificial intelligence for modeling movement in open space. Consequentially, the aim of this research is to find out what human behaviour aspects each of these space syntax methods are able to simulate. Keywords – agent-based analysis, segment analysis, Soviet micro-districts, social control, Space syntax, urban network, visibility graph analysis. [From the publication]
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