Methodologies for Evaluating the Socio-Economic Consequences of Large Earthquakes - Year 3 (Volumes 1, 2, & 3)
Abstract/Contents
- Abstract
The need for efficient and reliable estimation of the socio-economic impact of large earthquakes has been amply demonstrated with recent earthquake events in the United States (US) and Japan. Recent developments in computing technologies, including geographic information systems (GIS), database management systems (DBMS), and knowledge-based expert systems (KBES) have made it possible to develop innovative methods for regional earthquake damage and loss estimation. Socio-economic impact analyses allow for the identification of high risk facilities, i.e., buildings or lifeline components that provide essential services to a region or where the potential loss of life is unacceptably high. Only two previous studies (ATC-13, 1985; NffiS, 1995) provide comprehensive methods for regional damage and loss estimation, although neither extends the analysis to the evaluation and identification of high risk facilities
The objective of this study is to develop a comprehensive regional damage and loss estimation methodology that can be used for evaluating the socio-economic impact of large earthquakes and for identifying high risk facilities utilizing advanced computational tools. In order to achieve this objective a unique team of researchers was assembled by the California Universities for Research in Earthquake Engineering (CUREe) that brings in expertise in earthquake hazard and risk evaluation, geological and geotechnical modeling and socio-economic consequence analysis. The CUREe team was composed of researchers from Stanford University who provided the expertise in hazard and risk assessment, University of California at Los Angeles who provided expertise on geological and geotechnical modeling and University of California at Berkeley who developed as and implemented the socio-economic components of the project. A team of researchers with similar expertise was also brought together by Kajima to address the same issues as they apply to Japan. The two teams worked closely over a period of three years. This report summarizes the methodology and the results of its applications.
Description
Type of resource | text |
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Date created | January 6, 1997 |
Creators/Contributors
Author | Mizukoshi, Kaoru | |
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Author | Miyamura, Masamitsu | |
Author | Miura, Yoshikatsu | |
Author | Ohbo, Naoto | |
Author | Ishida, Hiroshi | |
Author | Moroi, Takafumi | |
Author | Tagami, Jun | |
Author | Nagata, Shigeru | |
Author | Hayasaka, Hiroshi | |
Author | Ishii, Akira | |
Author | Kohiyama, Masayuki | |
Author | Kiremidjian, Anne S | |
Author | Law, Kincho H | |
Author | King, Stephanie A | |
Author | Basoz, Nesrin | |
Author | Singhal, Ajay | |
Author | Straser, Erik | |
Author | Belubekian, Maya | |
Author | Moehle, Jack | |
Author | Olsen, Robert | |
Author | Goettel, Kenneth | |
Author | Eidinger, John | |
Author | Horner, Gerald | |
Author | Vucetic, Mladen | |
Author | Doroudian, Macan | |
Author | Iskandar, Veronica |
Subjects
Subject | GIS |
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Subject | DBMS |
Subject | KBES |
Subject | Loss Estimation |
Subject | Risk Evaluation |
Subject | Geotechnical Modeling |
Genre | Technical report |
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Preferred citation
- Preferred Citation
- Mizukoshi, Kaoru and Miyamura, Masamitsu and Miura, Yoshikatsu and Ohbo, Naoto and Ishida, Hiroshi and Moroi, Takafumi and Tagami, Jun and Nagata, Shigeru and Hayasaka, Hiroshi and Ishii, Akira and Kohiyama, Masayuki and Kiremidjian, Anne S and Law, Kincho H and King, Stephanie A and Basoz, Nesrin and Singhal, Ajay and Straser, Erik and Belubekian, Maya and Moehle, Jack and Olsen, Robert and Goettel, Kenneth and Eidinger, John and Horner, Gerald and Vucetic, Mladen and Doroudian, Macan and Iskandar, Veronica. (1997). Methodologies for Evaluating the Socio-Economic Consequences of Large Earthquakes - Year 3 (Volumes 1, 2, & 3). CUREE-Kajima Research Report CKII-06, CKII-07, and CKI-08. Stanford Digital Repository. Available at: http://purl.stanford.edu/dx385dt2136
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- jabeec-email@stanford.edu
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