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KMID : 1129920160130010001
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Journal of Korean Society of Health Sciences
2016 Volume.13 No. 1 p.1 ~ p.9
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A Study on the Layout of Medical Examine Center using the Agent-based Analysis Model
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Oh Sung-Jin
Kim Kwang-Hyun
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Abstract
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Purpose : In the modern society, the social structure is getting more complex due to the development of science and the increase of information, and the relatio n between user and space is also being expressed more diversely. This characte ristic of space as a complex system came to require the methodology to review the functional efficiency from the stage of planning with the objective and quantitative method.
Methods : The vision-based analysis method has a limit in analyzing the characteristics of complex system rather than the physical analysis of space. This study proposes a method to analyze the space structure by using the interaction between space and agent based on the agent-based modeling theory that reflects the characteristics of complex system. The study was carried out in the following way. First, through the experiment of proposed model, the vision analysis theory and the agent-based analysis theory were compare d to evaluate the validity and effectiveness of agent-based analysis model. And then, it proposed the possibility of new analysis method by measuring the space sharing rate according to the adjustment of time and space control variables.
Results : The results of this study are: 1) Even in the same space structure, the space occupying time of agent has influence on the relativity change of spac e structure; 2) In the spaces with the same topological route, the size change of space also has great influence on the relation of space structure.
Conclusion : With this, we can expect the fairly practical effect of the agent -based analysis model when it is applied to the preliminary simulation for the space traffic analysis and the set-up of effective route, as a tool to analyze the emergence phenomena occurred by the interaction between agent and space as the complex system characteristic of space.
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KEYWORD
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Agent , Agent-Based Modeling, Spatial Analysis, Space Syntax, Int eraction
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