Agent-Based Modeling and Simulation on Planning Analysis
In contrast to China’s rapid urbanization, the development of urban planning technologies remained relatively lagged behind. By taking quantitative analysis urban planning as a starting point, the research discusses the scope and content of planning at various levels as well as the possibility of data acquisition so as to choose the applicable planning analysis models. Agent-based modeling (ABM) has become an important subject recently in urban planning due to its top-down approach. This study discusses the building of a analysis Agent-based model for urban planning and design in a bid to provide direct and visual method for planning practices. We built a planning model with the software Repast S which was proved being useful in escaping green space planning. From running this Agent model the dynamic visualization of disaster evacuation process could be simulated.