Multi-Agent-Based Model for the Urban Macro-Level Impact Factors of Building Energy Consumption on Different Types of Land

Urban researchers pay more and attention to building energy consumption from different perspectives obtain the results of urban overall conservation. The research at micro level has yielded abundant accomplishments, but macro-level that can support planning decision making is still in exploration stage. In this study, a multi-agent-based model, including main panel, agent, resident household appliance established by using Anylogic software. model integrates Harbin impact factors designing linking three sub-models: an morphology sub-model, climate use behavior sub-model. end, study explored energy-saving potential types land under variable through simulation scenarios discussed related strategies. Findings suggestions include: (1) on mainly reflected residential commercial land. development intensity (building density, floor area ratio, height) control coordination type layout configuration help reduce consumption. (2) evident impact, ecological means should be used adjust lands. (3) From methodology perspective, well realize integration multiple city dynamic are expected provide quantitative for creating sustainable built environment city.