Agent-Based Simulation for Consumers’ Behavior Mode on Low-Carbon Buildings

Abstract:

Transitioning to purchasing low carbon buildings is vital for pro-environment because it consume less energy. Consumers’ attitudes may fall into three categories: Supportive, opposed and neutral. By simulating the agents’ behaviors based on evolutionary models which believes that buying low carbon buildings can reduce energy consuming and protect environment. At the same time, it assumes environment is shared by all the agents and those against the low carbon won’t receive penalty. Human being can exploit renewable and new energy with developed technology. Evolutionary theory explains people who get energy will affect people’s attitudes around them, while those lack of energy will change their behaviors. Research proves that opponents will dominant in the world without punishments and their behaviors increase pollution. So it is necessary to improve social education and let government to take administrative compulsory measures or legislate in order to get rid of “tragedy of the commons” produced by consuming non-low carbon buildings.

• Periodical: Advanced Materials Research (Volumes 962-965)
• Pages: 1524-1528
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.962-965.1524
• Online since: June 2014
• Authors: Fu Qun*
• Keywords: Agent-Based-Simulation (ABS), Consumers’ Behaviors Mode, Low Carbon Buildings, Netlogo

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