Quantitative Assessment of Landslide Risk to Residents on the Slope of a Hazardous Area in Malaysia

This paper presents a Quantitative Risk Assessment (QRA) method for the impact of a landslide using a case study in Malaysia. The probability of the slope experiencing a landslide event is computed. Subsequently, the runout of the landslide in the case study is forecasted using the previously developed empirical model for Malaysia. The risk for elements at risk along the landslide's runout path is estimated. The overall risk to society is then portrayed using an F-N diagram, demonstrating the practical application of the proposed Malaysian risk criterion. In addition, the results of this analysis will serve as a foundation for conducting a cost-benefit analysis, designing risk reduction measures aligned with the established risk acceptance criteria, and informing future land use planning processes.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-01
DOI
https://doi.org/10.5281/zenodo.15095268
Primary Topic
Neural dynamics and brain function
Type
article
Field-Weighted Citation Impact
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article

Quantitative Assessment of Landslide Risk to Residents on the Slope of a Hazardous Area in Malaysia

Zenodo (CERN European Organization for Nuclear Research)
Neural dynamics and brain function
article

Quantitative Assessment of Landslide Risk to Residents on the Slope of a Hazardous Area in Malaysia

article en

Abstract

This paper presents a Quantitative Risk Assessment (QRA) method for the impact of a landslide using a case study in Malaysia. The probability of the slope experiencing a landslide event is computed. Subsequently, the runout of the landslide in the case study is forecasted using the previously developed empirical model for Malaysia. The risk for elements at risk along the landslide's runout path is estimated. The overall risk to society is then portrayed using an F-N diagram, demonstrating the practical application of the proposed Malaysian risk criterion. In addition, the results of this analysis will serve as a foundation for conducting a cost-benefit analysis, designing risk reduction measures aligned with the established risk acceptance criteria, and informing future land use planning processes.

Zenodo (CERN European Organization for Nuclear Research)
University of Nottingham (GB), University of Nottingham Malaysia Campus (MY)
Sustainable cities and communities
Openalex Percentile: Top 52%
Neural dynamics and brain function
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