Analysis of Occupants'Learning Behavior and Optimization of Design Indicators in University Libraries
To improve the comfort level and optimize the operational energy consumption of university library study spaces,a questionnaire survey was conducted to investigate occupants'behavior,study frequency,and seating capacity.Supported by the theory of complex systems,a multi-agent simulation modeling tool was employed to establish a predictive model for the number of learners,enabling the prediction of the maximum capacity of the study spaces.The relationship between the flow of people in the study spaces and the number of learners present was explored,and predictive formulas for different levels of seating capacity were proposed.By comparing the energy consumption of different seating capacity levels and study space layouts,energy-efficient optimization strategies for library study spaces were developed.These strategies can provide quantitative guidelines for the design of study spaces in university libraries and contribute to the sustainable development of libraries.
university librarylearning behaviordesign indicatornumber of seatsenergy saving optimization
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NSTL
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