INTEGRATION OF SPACE SYNTAX INTO AGENT-BASED PEDESTRIAN SIMULATION IN URBAN OPEN SPACE

MAS can be utilized to analyse macro rules of whole system by simulating a number of active agents. However, simply based on the parameter of specific environment quality and incomplete statistical setting of individual, models of pedestrian traffic in realistic open space have often been imperfect, because the behaviour of people cannot be rationally reflected to the complex characteristic of space. Space Syntax Theory breaks down the space into components and measures each with the straight sight-line of individuals, which can help analyse and quantify pedestrian flow in complicated real-life environment. In this situation, we make an attempt to combine these two in our research, in order to simulate the moving of pedestrian closer to reality. In this paper, Gulou Square, an urban open space close to centre of the city with a large flow of people, is selected as the study site. The results after plenty of simulations and contrast tests can be concluded that with the assistance of Space Syntax Theory, MAS can be more functional solving the problems in sophisticated real-life environment.