| In the information age,the new information technology and media have great influence on the space of the university library,especially the space for readers,which has become more complex,open,informational and humanized.However,the existing library of university library has a relatively single space for readers,which cannot meet the demands of contemporary readers on space,and it needs to be optimized to meet the new requirements.Firstly,this paper classifies and analyzes the readers' space of university library.This paper discarded the traditional spatial classification method from the functional perspective,but started from the human behavior pattern to explore the corresponding relationship between behavior and space,and creatively divided the reader's space into behavior space,entity space,nested space and expansion space by the human perception level of space.On the basis of this study,this paper puts forward the concept of "Long-term space optimization".That is introducing the concept of time axis on the basis of space optimization,emphasizing that with the increasing use of demand and the continuous optimization of space along with time,the classification of the above space is just in line with the concept of "Long-term optimization".When we optimize the space,we first optimize the behavior space,followed by the physical space,then the nested space,and finally expand the space.Aiming at the spatial optimization model on this time axis,this paper studies the characteristics and influencing factors of each spatial type.Then,according to the characteristics of each space,the corresponding optimization mode is studied,and a relatively complete methodology system is formed.When the designer carries out the optimization design of the reader space of the university library,it can make the methodology more instructive according to the characteristics of the specific project and corresponding to the optimization model of the corresponding space. |
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