Open AccessProposed Method and Framework for Evaluating and Calculating a Seismic Vulnerability Index of Malaysia
Author(s) -
Noor Suhaiza Sauti,
Mohamed Daud,
Masiri Kaamin
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/616/1/012034
Subject(s) - vulnerability (computing) , vulnerability index , resilience (materials science) , index (typography) , preparedness , vulnerability assessment , computer science , geographic information system , data mining , multivariate statistics , geography , environmental resource management , risk analysis (engineering) , cartography , environmental science , psychological resilience , computer security , business , geology , machine learning , oceanography , climate change , world wide web , psychology , physics , political science , law , psychotherapist , thermodynamics
There are various constraints and challenges faced in conducting seismic vulnerability assessment studies in Malaysia due to key factors related to appropriate data availability, methods and frameworks. This paper would highlight on the proposed method and framework for assessing and calculating the seismic vulnerability index at district level for Malaysia condition. A set of vulnerability index indicators that incorporate exposure, resilience and capacity elements had been constructed to identify and evaluate local features that would contribute to the vulnerability of populations and properties to the occurrence of earthquakes. Specifically, a multivariate data analysis method would be performed to identify and assess the relative contribution (weightage value) of respective indicators and following with the use of Geographical Information System (GIS) technology to map and generate the spatial heterogeneity of total vulnerability index map and potential seismic vulnerability index map. Finally, the derived maps could provide preliminary information on the seismically vulnerable area classifications in order to improve the disaster mitigation and preparedness strategies by response disaster agencies.