| Project/Area Number |
05680374
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| Research Category |
Grant-in-Aid for General Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Research Field |
Natural disaster science
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| Research Institution | Tokyo Metropolitan University |
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Principal Investigator |
KOSAKA Shunkichi Tokyo Metropolitan University, Department of Civil Engineering, Research Associate, 工学部, 助手 (60094265)
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| Co-Investigator(Kenkyū-buntansha) |
SHIONO Keishi Tokyo Metropolitan University, Department of Civil Engineering, Research Associa, 工学部, 助手 (30128574)
MATSUDA Iware Kanto-Gakuin University, Department of Economics, Professor, 経済学部, 教授 (60087145)
MOCHIZUKI Toshio Tokyo Metropolitan University, Center for Urban Studies, Professor, 都市研究所, 教授 (80087270)
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| Project Period (FY) |
1993 – 1994
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| Project Status |
Completed (Fiscal Year 1994)
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| Budget Amount *help |
¥2,000,000 (Direct Cost: ¥2,000,000)
Fiscal Year 1994: ¥900,000 (Direct Cost: ¥900,000)
Fiscal Year 1993: ¥1,100,000 (Direct Cost: ¥1,100,000)
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| Keywords | Natural Disaster / Inconvenience in Daily Living / Survey Method / Estimation Method |
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| Research Abstract |
The following were carried out :
1) Development of Theoretical Background for a Survey Method : Collectiong and analyzing disaster data, we developed a qualitative flow diagram that describes the occurrence of residents' inconvenience in daily living in a natural disaster. On the basis of the diagram, we derived a theoretical background for a survey method to investigate the extent of inconvenience.
2) Development of a Survey Method : We developed a questionnaire form for the survey of residents' inconvenience. We also developed a method for analyzing the results of the questionnaire survey.
3) Development of a Estimation Method : We developed a method for the estimation of inconvenience using the identical framework for the survey method.
4) Application of the estimation mathod as a case study : We carried out a case study for the estimation of inconvenience for a city with a population of 400,000 in the Tokyo Metropolitan Area. First, we surveyed living type, or dependency on lifeline services, for households in the survey area. Second, we estimated periods of the suspension of lifeline services. Finally, using information on the living type and lifeline suspension, we evaluated residents' inconvenience on a numerical scale.
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