Identifying Factors to Develop and Validate Social Vulnerability to Floods in Malaysia: A Systematic Review Study

Ismallianto Isia, Tony Hadibarata (), Muhammad Noor Hazwan Jusoh, Rajib Kumar Bhattacharjya, Noor Fifinatasha Shahedan, Norma Latif Fitriyani and Muhammad Syafrudin ()
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Ismallianto Isia: Environment Engineering Program, Curtin University Malaysia, CDT 250, Miri 98009, Sarawak, Malaysia
Tony Hadibarata: Environment Engineering Program, Curtin University Malaysia, CDT 250, Miri 98009, Sarawak, Malaysia
Muhammad Noor Hazwan Jusoh: Environment Engineering Program, Curtin University Malaysia, CDT 250, Miri 98009, Sarawak, Malaysia
Rajib Kumar Bhattacharjya: Department of Civil Engineering, Indian Institute of Technology, Guwahati Near Doul Gobinda Road, Amingaon, North Guwahati, Guwahati 781039, Assam, India
Noor Fifinatasha Shahedan: Environment Engineering Program, Curtin University Malaysia, CDT 250, Miri 98009, Sarawak, Malaysia
Norma Latif Fitriyani: Department of Data Science, Sejong University, Seoul 05006, Republic of Korea
Muhammad Syafrudin: Department of Artificial Intelligence, Sejong University, Seoul 05006, Republic of Korea

Sustainability, 2023, vol. 15, issue 17, 1-21

Abstract: Flood disasters, a natural hazard throughout human history, have caused significant damage to human safety and infrastructure. This paper presents a systematic study using databases from Springer Link, Science Direct, JSTOR, and Web of Science. The study employs the PRISMA report analysis method to examine 11 flood disaster case studies between 2010 and 2022. The findings reveal that demographic characteristics, socioeconomic status, and access to healthcare crucially determine social vulnerability to adverse flood events. Notably, risk perception and coping capacity also received substantial attention in the case studies. Unfortunately, many indicators of social vulnerability fail to adequately consider the influence of these factors. The effects of factors that make communities vulnerable vary across disaster stages and countries. This emphasizes the importance of considering specific situations and locations when understanding the origins and consequences of vulnerability. The article concludes by offering recommendations to customize quantitative indicators of social vulnerability to flood contexts, covering aspects such as temporal context, measurability, and indicator relationships.

Keywords: flood disasters; social vulnerability; infrastructure damage; demographic characteristics; risk perception; coping capacity (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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