QUANTIFYING COMMUNITY VULNERABILITY TO NATURAL HAZARDS AND HYDROMETEOROLOGICAL HAZARDS: APPLICATION OF THE SOCIAL VULNERABILITY INDEX IN KAJANG AREA

The increasing phenomenon of landslide events in Malaysia, especially in urbanised areas has led to studies aiming to identify vulnerability factors to understand the weaknesses of communities when exposed to disasters. Hence, this study seeks to develop a Social Vulnerability Index (SoVI) for the Kajang community and identify the most prominent factor influencing community vulnerability. Therefore, 17 variables are identified as characterising social vulnerability, which is then applied to evaluate the assessment used in this study. The study uses a quantitative method in the form of a questionnaire to collect data while secondary data is used to determine the 17 variables used in the SoVI. 200 respondents living around the Kajang area were interviewed and analysis was executed using Principal Component Analysis (PCA). The results indicate that the Kajang Mewah hilly area is more vulnerable than the Kajang Utama hilly area. Consequently, the factors identified through PCA are household income, the environment of the housing area, household health, and housing composition. Overall, the study contributes to the deficient field of vulnerability studies in Malaysia. Furthermore, this study can help identify the vulnerability circumstances of communities in Kajang and contribute information and knowledge regarding disaster management in Malaysia.

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Publication Details

Journal
Journal of Sustainability Science and Management
Published
2025-05-31
DOI
https://doi.org/10.46754/jssm.2025.05.003
Primary Topic
Disaster Management and Resilience
Type
article
Field-Weighted Citation Impact
0.00

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article

QUANTIFYING COMMUNITY VULNERABILITY TO NATURAL HAZARDS AND HYDROMETEOROLOGICAL HAZARDS: APPLICATION OF THE SOCIAL VULNERABILITY INDEX IN KAJANG AREA

Nor Diana Mohd Idris, Nurfashareena Muhamad, Mohd Raihan Taha, Nurul Atikah Zulkepli et al.
Journal of Sustainability Science and Management
Disaster Management and Resilience
article

QUANTIFYING COMMUNITY VULNERABILITY TO NATURAL HAZARDS AND HYDROMETEOROLOGICAL HAZARDS: APPLICATION OF THE SOCIAL VULNERABILITY INDEX IN KAJANG AREA

Nor Diana Mohd Idris, Nurfashareena Muhamad, Mohd Raihan Taha, Nurul Atikah Zulkepli, Ashraf Osman, Muhammad Yasar
article en

Abstract

The increasing phenomenon of landslide events in Malaysia, especially in urbanised areas has led to studies aiming to identify vulnerability factors to understand the weaknesses of communities when exposed to disasters. Hence, this study seeks to develop a Social Vulnerability Index (SoVI) for the Kajang community and identify the most prominent factor influencing community vulnerability. Therefore, 17 variables are identified as characterising social vulnerability, which is then applied to evaluate the assessment used in this study. The study uses a quantitative method in the form of a questionnaire to collect data while secondary data is used to determine the 17 variables used in the SoVI. 200 respondents living around the Kajang area were interviewed and analysis was executed using Principal Component Analysis (PCA). The results indicate that the Kajang Mewah hilly area is more vulnerable than the Kajang Utama hilly area. Consequently, the factors identified through PCA are household income, the environment of the housing area, household health, and housing composition. Overall, the study contributes to the deficient field of vulnerability studies in Malaysia. Furthermore, this study can help identify the vulnerability circumstances of communities in Kajang and contribute information and knowledge regarding disaster management in Malaysia.

Journal of Sustainability Science and ManagementVol. 20(5)
Natural Environment Research Council
Openalex Percentile: Top 77%
Disaster Management and Resilience
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QUANTIFYING COMMUNITY VULNERABILITY TO NATURAL HAZARDS AND HYDROMETEOROLOGICAL HAZARDS: APPLICATION OF THE SOCIAL VULNERABILITY INDEX IN KAJANG AREA — Nor Diana Mohd Idris, Nurfashareena Muhamad, et al. · Journal of Sustainability Science and Management (2025) | TGRS Research Map | TGRS