Open AccessHuman Behaviour Simulation Using Space Syntax Methods
Author(s) -
Milda Sutkaitytė
Publication year - 2020
Publication title -
rīgas tehniskās universitātes zinātniskie raksti. 10.sērija, arhitektūra un pilsētplānošana/arhitektūra un pilsētplānošana
Language(s) - English
Resource type - Journals
eISSN - 2255-8764
pISSN - 1691-4333
DOI - 10.2478/aup-2020-0013
Subject(s) - space syntax , syntax , space (punctuation) , computer science , physical space , visibility , abstract syntax , graph , simple (philosophy) , visibility graph , artificial intelligence , theoretical computer science , mathematics , geography , epistemology , geometry , regular polygon , philosophy , cartography , meteorology , operating system
City 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.