Seismic vulnerability assessment of residential buildings using logistic regression and geographic information system (GIS) in Pleret Sub District (Yogyakarta, Indonesia)

Background The Southeast of Yogyakarta City has had the heaviest damages to buildings in the 2006 of Yogyakarta Earthquake disaster. A moderate to strong earthquake of 6.3 Mw shook the 20 km southeast part of the Yogyakarta City early in the morning at 5:54 local time. On top of extensive damage in...

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Vydané v:Geoenvironmental Disasters Ročník 4; číslo 1; s. 1 - 33
Hlavní autori: Saputra, Aditya, Rahardianto, Trias, Revindo, Mohamad Dian, Delikostidis, Ioannis, Hadmoko, Danang Sri, Sartohadi, Junun, Gomez, Christopher
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Cham Springer Science and Business Media LLC 24.03.2017
Springer International Publishing
Springer Nature B.V
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ISSN:2197-8670, 2197-8670
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Abstract Background The Southeast of Yogyakarta City has had the heaviest damages to buildings in the 2006 of Yogyakarta Earthquake disaster. A moderate to strong earthquake of 6.3 Mw shook the 20 km southeast part of the Yogyakarta City early in the morning at 5:54 local time. On top of extensive damage in Yogyakarta and Central Java, more than 5700 people perished; 37,927 people were injured in the collapse of more than 240,396 residential buildings. Furthermore, the earthquake also affected the infrastructure and local economic activities. The total damages and losses because of the earthquake was 29.1 trillion rupiahs or equal to approximately 3.1 million US dollar. Two main factors that caused the severe damages were a dense population and the lack of seismic design of residential buildings. After reconstruction and rehabilitation, the area where the study was conducted grew into a densely populated area. This urbanistic change is feared to be potentially the lead to a great disaster if an earthquake occurs again. Thus, a comprehensive study about building vulnerability is absolutely needed in study area. Therefore, the main objective of this study has been the provision of a probabilistic model of seismic building vulnerability based on the damage data of the last big earthquake. By considering the relationship between building characteristics, site conditions, and the damage level based on probabilistic analysis, this study can offer a better understanding of earthquake damage estimation for residential building in Java. Results The main findings of this study were as follows: The most vulnerable building type is the reinforced masonry structure with clay tile roof, it is located between 8.1-10 km of the epicentre and it is built on young Merapi volcanic deposits. On the contrary, the safest building type is the houses which has characteristics of reinforced masonry structure, asbestos or zinc roof type, and being located in Semilir Formation. The results showed that the building damage probability provided a high accuracy of prediction about 75.81%. Conclusions The results explain the prediction of building vulnerability based on the building damaged of the Yogyakarta earthquake 2006. This study is suitable for preliminary study at the region scale. Thus, the site investigation still needs to be conducted for the future research to determine the safety and vulnerability of residential building.
AbstractList Background The Southeast of Yogyakarta City has had the heaviest damages to buildings in the 2006 of Yogyakarta Earthquake disaster. A moderate to strong earthquake of 6.3 Mw shook the 20 km southeast part of the Yogyakarta City early in the morning at 5:54 local time. On top of extensive damage in Yogyakarta and Central Java, more than 5700 people perished; 37,927 people were injured in the collapse of more than 240,396 residential buildings. Furthermore, the earthquake also affected the infrastructure and local economic activities. The total damages and losses because of the earthquake was 29.1 trillion rupiahs or equal to approximately 3.1 million US dollar. Two main factors that caused the severe damages were a dense population and the lack of seismic design of residential buildings. After reconstruction and rehabilitation, the area where the study was conducted grew into a densely populated area. This urbanistic change is feared to be potentially the lead to a great disaster if an earthquake occurs again. Thus, a comprehensive study about building vulnerability is absolutely needed in study area. Therefore, the main objective of this study has been the provision of a probabilistic model of seismic building vulnerability based on the damage data of the last big earthquake. By considering the relationship between building characteristics, site conditions, and the damage level based on probabilistic analysis, this study can offer a better understanding of earthquake damage estimation for residential building in Java. Results The main findings of this study were as follows: The most vulnerable building type is the reinforced masonry structure with clay tile roof, it is located between 8.1-10 km of the epicentre and it is built on young Merapi volcanic deposits. On the contrary, the safest building type is the houses which has characteristics of reinforced masonry structure, asbestos or zinc roof type, and being located in Semilir Formation. The results showed that the building damage probability provided a high accuracy of prediction about 75.81%. Conclusions The results explain the prediction of building vulnerability based on the building damaged of the Yogyakarta earthquake 2006. This study is suitable for preliminary study at the region scale. Thus, the site investigation still needs to be conducted for the future research to determine the safety and vulnerability of residential building.
BackgroundThe Southeast of Yogyakarta City has had the heaviest damages to buildings in the 2006 of Yogyakarta Earthquake disaster. A moderate to strong earthquake of 6.3 Mw shook the 20 km southeast part of the Yogyakarta City early in the morning at 5:54 local time. On top of extensive damage in Yogyakarta and Central Java, more than 5700 people perished; 37,927 people were injured in the collapse of more than 240,396 residential buildings. Furthermore, the earthquake also affected the infrastructure and local economic activities. The total damages and losses because of the earthquake was 29.1 trillion rupiahs or equal to approximately 3.1 million US dollar. Two main factors that caused the severe damages were a dense population and the lack of seismic design of residential buildings. After reconstruction and rehabilitation, the area where the study was conducted grew into a densely populated area. This urbanistic change is feared to be potentially the lead to a great disaster if an earthquake occurs again. Thus, a comprehensive study about building vulnerability is absolutely needed in study area. Therefore, the main objective of this study has been the provision of a probabilistic model of seismic building vulnerability based on the damage data of the last big earthquake. By considering the relationship between building characteristics, site conditions, and the damage level based on probabilistic analysis, this study can offer a better understanding of earthquake damage estimation for residential building in Java.ResultsThe main findings of this study were as follows: The most vulnerable building type is the reinforced masonry structure with clay tile roof, it is located between 8.1-10 km of the epicentre and it is built on young Merapi volcanic deposits. On the contrary, the safest building type is the houses which has characteristics of reinforced masonry structure, asbestos or zinc roof type, and being located in Semilir Formation. The results showed that the building damage probability provided a high accuracy of prediction about 75.81%.ConclusionsThe results explain the prediction of building vulnerability based on the building damaged of the Yogyakarta earthquake 2006. This study is suitable for preliminary study at the region scale. Thus, the site investigation still needs to be conducted for the future research to determine the safety and vulnerability of residential building.
ArticleNumber 11
Author I. Delikostidis
Aditya Saputra
Danang Sri Hadmoko
Junun Sartohadi
Mohamad Dian Revindo
Trias Rahardianto
Christopher Gomez
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  givenname: Christopher
  surname: Gomez
  fullname: Gomez, Christopher
  organization: Research Centre of Volcanic Risk at Sea, Faculty of Maritime Sciences, University of Kobe
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Snippet Background The Southeast of Yogyakarta City has had the heaviest damages to buildings in the 2006 of Yogyakarta Earthquake disaster. A moderate to strong...
BackgroundThe Southeast of Yogyakarta City has had the heaviest damages to buildings in the 2006 of Yogyakarta Earthquake disaster. A moderate to strong...
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SubjectTerms Area
Asbestos
Aseismic buildings
Building design
Building vulnerability
Buildings
Clay
Damage assessment
Damage pattern
Damage pattern/ Building vulnerability
Earth and Environmental Science
Earth Sciences
Earthquake
Earthquake construction
Earthquake damage
Earthquakes
Economic activities
Environment
Environmental Science and Engineering
Field of Research::04 - Earth Sciences::0403 - Geology::040312 - Structural Geology
Field of Research::08 - Information and Computing Sciences::0806 - Information Systems::080699 - Information Systems not elsewhere classified
Field of Research::12 - Built Environment and Design::1202 - Building::120202 - Building Science and Techniques
Fields of Research::37 - Earth sciences::3706 - Geophysics::370609 - Seismology and seismic exploration
Fields of Research::37 - Earth sciences::3709 - Physical geography and environmental geoscience::370903 - Natural hazards
Fields of Research::40 - Engineering::4005 - Civil engineering::400506 - Earthquake engineering
Fields of Research::40 - Engineering::4013 - Geomatic engineering::401302 - Geospatial information systems and geospatial data modelling
Geoecology/Natural Processes
Geographic information systems
Geographical information systems
Geography
Houses
Housing
Information systems
Masonry
Natural Hazards
Population density
Probabilistic analysis
Probabilistic model
Probabilistic models
Probability theory
Regression analysis
Rehabilitation
Remote sensing
Residential areas
Residential buildings
Satellite navigation systems
Seismic activity
Seismic design
Seismic hazard
Seismic surveys
Seismology
Statistical analysis
Vulnerability
Zinc
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