The disaster risk assessment technique by the statistical approach and its applications for the safety measures
| Project/Area Number |
18310111
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Social systems engineering/Safety system
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| Research Institution | Yokohama National University |
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Principal Investigator |
SEKINE Kazusyohi Yokohama National University, Graduate School of Environment and Information Scienoes, Professor (40017934)
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| Co-Investigator(Kenkyū-buntansha) |
YAMADA Minoru National Research Institute of Fire and Disaster, Research & Development Division, Head (60358778)
MURAKAMI Fumio Yokohaina National University, Center for Risk Management and Safety Sciences, Associate Professor (30397088)
FURUYA Takashi Yokoharna National University, Center for Risk Managent and Safey Sciences, Lecturer (10397086)
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| Project Period (FY) |
2006 – 2007
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| Project Status |
Completed (Fiscal Year 2007)
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| Budget Amount *help |
¥9,470,000 (Direct Cost: ¥8,600,000、Indirect Cost: ¥870,000)
Fiscal Year 2007: ¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2006: ¥5,700,000 (Direct Cost: ¥5,700,000)
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| Keywords | Risk assessment / Risk curve / Decision making / Fractal / Risk communication / 災害統計分析 / 安全施策立案 / GIS |
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| Research Abstract |
In the present study, the methodology of the decision making for the disaster risk assessment and the safety measures was suggested by using a new industrial disaster statistics analysis technique.
The results obtained during the period of 2006-2007 are as follows.
(1) The actual data of the various industrial disasters were analyzed by the proposed method in the present study and the parameters which showed the risk of the industrial disasters were arranged from the risk curve. Furthermore, the risks of the various industrial disasters were compared using the parameters.
(2) The display method on the map of the risk distribution was examined by using GIS to express the risk characteristic for the risk communication between the stakeholders.
(3) The new analytical model for the occurrence characteristics for the various industrial disasters was suggested to verify the method in the present study. Moreover, the occurrence characteristics for the various industrial disasters were also simulated using the percolation model.
(4) The tool of the risk communications was discussed from the viewpoint of social psychology.
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Report
(3 results)
Research Products
(9 results)
