1993 Fiscal Year Final Research Report Summary
Experiment and Computer Simulation of Human Behavior during Earthquake Induced Fire
| Project/Area Number |
03452198
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| Research Category |
Grant-in-Aid for General Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
土木構造
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| Research Institution | UNIVERSITY OF TOKYO |
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Principal Investigator |
KATAYAMA Tsuneo IIS, Univ.of Tokyo, Professor, 生産技術研究所, 教授 (70013216)
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| Co-Investigator(Kenkyū-buntansha) |
OTSUKI Akira Ohsaki Research Inst., Shimizu Corp., Senior Research Eng., 大崎研究室, 主任研究員
NAGATA Shigeru Kajima Technical Research Inst., Senior Research Eng., 技術研究所 (50217999)
YAMAZAKI Fumio IIS, Univ.of Tokyo, Associate Professor, 生産技術研究所, 助教授 (50220322)
MEGURO Kimiro IIS, Univ.of Tokyo, Research Associate, 生産技術研究所, 助手 (40222343)
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| Project Period (FY) |
1991 – 1993
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| Keywords | Evacuation / Earthquake induced fire / Human behavior / Underground facilities / Simulation / Fractal dimension / Potential / Maze Experiment |
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| Research Abstract |
To collect data on human behavior during earthquake induced fire, a maze experiment with two different conditions was performed using 40 subjects. A new computer simulation model is also proposed to analyze evacuation in large and populous underground facilities. The major findings are :
From the maze experiment, it was found that once a subject has lost reference positions, it takes time to recover the sense of direction. The behavior of a subject was greatly affected by brightness and smoke. The behaviors can be categorized into three patterns.
The fractal dimension of evacuation path is proposed as a new index to classify the complexity of evacuation behavior. The data from the maze experiment and from an actual fire were employed to examine the use of the fractal dimension in classifying evacuation paths. From these investigations, the fractal dimension is found to be a good index to quantify the complexity of evacuation behavior.
A new computer simulation method based on potential model is proposed. Previous models cannot efficiently handle obstacles in the path. To check the adequacy of the method for human behavior analyzes, this method is applied to a simple corridor model and a real subway station. By comparing the results of the computer simulation to the results of past research on human behavior, the proposed method is found to be a good and practical method to simulate human behavior in populous underground facilities.
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