研究目的
To evaluate to what extent gami?cation could support the di?usion of urban renewable energy systems, especially photovoltaics installation.
研究成果
The developed methodology has made it possible to conduct a multifaceted simulation of social behaviors targeting the installation of PVs. This, in turn, contributes to sustainable development by limiting the adverse impacts of urbanization on the environment and improving, overall, residents' quality of life. The social impact models and the methods of stimulation by local authorities that we propose indicate that using gami?cation methods is one of the most effective approaches.
研究不足
The model's accuracy is dependent on the quality and completeness of the spatial and descriptive data provided by city authorities. The generalization of source data may affect the level of detail in the analysis.
1：Experimental Design and Method Selection:
The methodology involves the use of multi-agent systems, GIS tools, demographic data, and a spatial knowledge base to develop and calibrate a computable model of social interaction in a 'model smart city'.
2：Sample Selection and Data Sources:
The model is tested on the city of Warsaw, utilizing spatial and descriptive data provided by city authorities.
3：List of Experimental Equipment and Materials:
GIS tools, demographic data, spatial knowledge base, and multi-agent systems.
4：Experimental Procedures and Operational Workflow:
The model simulates social interactions and evaluates the deployment of photovoltaic panels based on various factors.
5：Data Analysis Methods:
Quantitative evaluation of the deployment of photovoltaic panels and analysis of factors affecting the efficiency of this process.
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