Land Cover and Socioeconomic Analysis for Recommended Flood Risk Reduction Strategies in Java Island, Indonesia

Adityawan Sigit () and Morihiro Harada
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Adityawan Sigit: Department of Engineering Science, Gifu University, Gifu 501-1193, Japan
Morihiro Harada: Center for Environmental and Societal Sustainability, Gifu University, 1–1, Yanagido, Gifu 501-1193, Japan

Sustainability, 2024, vol. 16, issue 15, 1-22

Abstract: This study utilizes a novel approach by analyzing land use and socioeconomic factors to enhance flood risk reduction strategies on Java Island, Indonesia. Using datasets from inaRISK hazard profiles, GlobCover land cover data, and Indonesian national statistics, the research offers a methodology for mitigating flood risks in diverse geographic and socioeconomic landscapes. The study found flood exposure rates ranging from 1.1% to 63%, averaging 26.5% across 114 districts, and revealed a correlation between high flood exposure and socioeconomic indicators. Cluster analysis identified four types of regions with unique flood risk management needs. Socioeconomic analysis showed significant income and education level variations across clusters, with urban areas having a higher Gross Regional Domestic Product and better education levels than rural areas. This socioeconomic divide is crucial for understanding different regions’ capacities to respond to and recover from floods. Integrating socioeconomic factors with land use and flood exposure data allows for tailored disaster risk reduction strategies. For high-risk urban areas, structural interventions and community-focused initiatives are recommended, while rural areas benefit from sustainable land management practices. This study highlights the need for a combined approach to flood risk management and strategies, and provides a model adaptable to similar regions.

Keywords: flood; socioeconomic; land cover; disaster risk reduction (DRR); Java Island (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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