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Development of a Building Repair Time Component for the Disaster Losses Estimate in the Mamuju Earthquake
Looking at Indonesian disaster records, we see that earthquakes cause severe economic losses through both building damage and loss of life. In dealing with losses, estimating economic losses is very important as this forms the basis for post-disaster financial preparedness and is a country resilience level criterion. One widely used loss estimation model is the Hazus model from the USA. The Hazus model provides an operational loss estimation (Relocation Expense, [RELi] and Loss of Income [YLOSi]) based on the analysis of several potential areas of loss, providing a broad disaster loss estimation. In its application in different countries, Hazus's variable should be adjusted. The building repair time component, CRTds, and building repair and recovery time, RTds, is one of the Hazus variables that need to be adjusted. The repair time variable has specific characteristics for each country that are related to labor productivity, material supply chain, etc. This study aims to develop the Hazus model building repair time component, CRTds and RTds, based on a case study of buildings affected by the 2021 Mamuju, Indonesia earthquake. The research case study was conducted across 98 buildings with various functions (government offices, clinics, and schools) and with varying levels of damage (slight, moderate, and collapse). The results show CRTds and RTds based on the Mamuju earthquake almost always have a larger value than the Hazus model in each damage state. From the sensitivity analysis, the CRTds and RTds difference is 48.42% deviation on RELi and 53.19% deviation on YLOSi.
Development of a Building Repair Time Component for the Disaster Losses Estimate in the Mamuju Earthquake
Looking at Indonesian disaster records, we see that earthquakes cause severe economic losses through both building damage and loss of life. In dealing with losses, estimating economic losses is very important as this forms the basis for post-disaster financial preparedness and is a country resilience level criterion. One widely used loss estimation model is the Hazus model from the USA. The Hazus model provides an operational loss estimation (Relocation Expense, [RELi] and Loss of Income [YLOSi]) based on the analysis of several potential areas of loss, providing a broad disaster loss estimation. In its application in different countries, Hazus's variable should be adjusted. The building repair time component, CRTds, and building repair and recovery time, RTds, is one of the Hazus variables that need to be adjusted. The repair time variable has specific characteristics for each country that are related to labor productivity, material supply chain, etc. This study aims to develop the Hazus model building repair time component, CRTds and RTds, based on a case study of buildings affected by the 2021 Mamuju, Indonesia earthquake. The research case study was conducted across 98 buildings with various functions (government offices, clinics, and schools) and with varying levels of damage (slight, moderate, and collapse). The results show CRTds and RTds based on the Mamuju earthquake almost always have a larger value than the Hazus model in each damage state. From the sensitivity analysis, the CRTds and RTds difference is 48.42% deviation on RELi and 53.19% deviation on YLOSi.
Development of a Building Repair Time Component for the Disaster Losses Estimate in the Mamuju Earthquake
Lecture Notes in Civil Engineering
Ha-Minh, Cuong (editor) / Pham, Cao Hung (editor) / Vu, Hanh T. H. (editor) / Huynh, Dat Vu Khoa (editor) / Milyardi, Roi (author) / Firdaus, Aden (author) / Pribadi, Krishna S. (author) / Abduh, Muhamad (author) / Meilano, Irwan (author) / Lim, Erwin (author)
International Conference series on Geotechnics, Civil Engineering and Structures ; 2024 ; Ho Chi Minh City, Vietnam
2024-06-01
9 pages
Article/Chapter (Book)
Electronic Resource
English
Building Repair Time , Building Recovery Time , Earthquake Loss Estimation , HAZUS , Mamuju Earthquake Engineering , Geoengineering, Foundations, Hydraulics , Sustainable Development , Sustainable Architecture/Green Buildings , Cyber-physical systems, IoT , Professional Computing , Structural Materials
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