Agent-Based Modeling of Temporal and Spatial Dynamics in Life Cycle Sustainability Assessment

作者: Susie Ruqun Wu , Xiaomeng Li , Defne Apul , Victoria Breeze , Ying Tang

DOI: 10.1111/JIEC.12666

关键词:

摘要: Current aggregate and top†down approaches in life cycle sustainability assessment (LCSA) generally fail to account for spatial, temporal, emergent behavioral dynamics simultaneously during the inventory stage. We discuss key characteristics captured by complex system (agent†based modeling [ABM] particular) context of LCSA. It is understood that integrating ABM, can be addressed propose a general concept integrate ABM into current building standards. then use hypothetical example green development compare approach with predefined static policy model. Simulation results from agent†model confirm there are temporal spatial variations caused dynamics. The integrated calculation temporally dynamic LCSA indicators on an annual basis. Spatially distributed simulation also used spatially

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