DEVELOPMENT OF BUILDING FRAGILITY CURVES AND ESTIMATION OF TSUNAMI ECONOMIC LOSSES (CASE STUDY: PANGANDARAN VILLAGE AND PANANJUNG VILLAGE, WEST JAVA)

The tsunami disaster caused massive loss and damage. This encourages efforts to reduce tsunami risk, including assessing damage and economic losses. Understanding the potential economic impact is critical for community resilience and mitigation needs. This study aims to determine the most appropriat...

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Bibliographic Details
Main Author: Nurul Aini, Atik
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/73027
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Institution: Institut Teknologi Bandung
Language: Indonesia
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Summary:The tsunami disaster caused massive loss and damage. This encourages efforts to reduce tsunami risk, including assessing damage and economic losses. Understanding the potential economic impact is critical for community resilience and mitigation needs. This study aims to determine the most appropriate model for the vulnerability curve of buildings to tsunamis. It will also determine the level of vulnerability, and then estimate the value of economic losses caused by damage to buildings. The study areas chosen were Pangandaran Village and Pananjung Village, which were areas affected by the 2006 Pangandaran tsunami. Based on recent research, these two villages also have the potential to experience a megathrust earthquake, which will generate a large tsunami. The metode used to construct fragility curves are Ordinary Least Square (OLS), Generalized Linear Model (GLM), Generalized Additive Model (GAM), and Bayesian Linear Regression (BLR). The vulnerability of buildings is assessed based on the damage ratio. Direct economic losses are calculated based on the value of the building, its area, and its damage ratio. The results showed that GLM generally produced the most appropriate model. A high level of vulnerability is present in 97.54% of buildings. Meanwhile, the total economic loss of buildings due to the tsunami in Pangandaran Village and Pananjung Village was IDR 4,740,273,810,499. The results of this study are expected to assist structural mitigation planning, both by the government and other related parties.