4.6 Article

Development of a Local, Integrated Disaster Risk Assessment Framework for Malaysia

期刊

SUSTAINABILITY
卷 13, 期 19, 页码 -

出版社

MDPI
DOI: 10.3390/su131910792

关键词

framework development; disaster risk reduction; multi-hazard; multi-dimension vulnerability

资金

  1. Malaysian Ministry of Education under the Fundamental Research Grant (FRGS) [FRGS/1/2018/WAB05/UTM/02/6, R.J130000.7851.5F032]
  2. UTM Fundamental Research Grant [Q.J130000.2551. 20H75]
  3. Malaysia Research University Network Grant [R.J130000.7851.4L897]
  4. special MJIIT grant [R.J130000.7722.4J282]
  5. Malaysian Ministry of Education for GUP [QJ130000.2522.19H68]

向作者/读者索取更多资源

The study proposed an integrated disaster risk assessment framework for measuring and analyzing disaster risk at the local level in Malaysia, aiming to enhance disaster risk reduction efforts and guide decision makers in evaluating and mitigating risks. The framework includes multiple hazards and vulnerability dimensions, developed through various stages to reduce vulnerability indicators effectively and assess potential disaster impacts accurately.
This study developed an integrated disaster risk assessment framework (IDRAF) to measure disaster risk at the local administrative boundaries in Malaysia. The proposed framework can enhance government effort for disaster risk reduction by implementing an integrated disaster risk framework and guiding decision makers to properly evaluate and analyze risk for mitigation, preparedness, and planning. The framework was developed, expanding from the multi-hazard spatial overlapping and Methods for the Improvement of Vulnerability Assessment in Europe (MOVE) theoretical framework. There are five significant phases to develop this framework: problem formulation, data collection, multi-hazard characterization, multi-dimensional vulnerability characterization, and weightage determination. The IDRAF proposed for Malaysia consists of eight hazards and six vulnerability dimensions, which consist of 16 factors (or vulnerability group) and 54 indicators. The multi-hazard characterization has two components: frequency of occurrence and spatial interaction. The multidimensional vulnerability characterization reduces vulnerability indicators using principal component analysis (PCA). Measuring integrated risk is an effective strategy at the local level or national level to assess the potential disaster impacts in detail and accurately. This study will offer explicit knowledge and boost community competency, creating techniques and tools to analyze various risk factors and vulnerability indicators for decision makers and practitioners.

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