Understanding the Behavioral Drivers of Landslide Mitigation: A Quantitative Assessment

This study aims to assess the levels of knowledge, attitude, and preparedness related to disaster mitigation and to analyze their influence on community readiness for landslides. A total of 180 residents of Lamkleng Village were selected using a simple random sampling technique. Data was collected through questionnaires and analyzed using multiple linear regression. The results showed significant positive effects of knowledge (B = 0.273, p = 0.000), attitude (B = 0.320, p = 0.001), and preparedness (B = 0.256, p = 0.001) on disaster mitigation. The regression model explained 50.7% of the variance in mitigation outcomes (Adjusted R² = 0.507). These findings suggest that behavioral factors are critical to improving disaster resilience and should be prioritized in community-based disaster risk reduction programs.

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Publication Details

Journal
Journal of Educational Analytics
Published
2025-08-31
DOI
https://doi.org/10.55927/jeda.v4i3.162
Primary Topic
Disaster Management and Resilience
Type
article
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article

Understanding the Behavioral Drivers of Landslide Mitigation: A Quantitative Assessment

Teuku Budi Aulia, Marthoenis Marthoenis, Muhammad Yasir
Journal of Educational Analytics
Disaster Management and Resilience
article

Understanding the Behavioral Drivers of Landslide Mitigation: A Quantitative Assessment

Teuku Budi Aulia, Marthoenis Marthoenis, Muhammad Yasir
article en

Abstract

This study aims to assess the levels of knowledge, attitude, and preparedness related to disaster mitigation and to analyze their influence on community readiness for landslides. A total of 180 residents of Lamkleng Village were selected using a simple random sampling technique. Data was collected through questionnaires and analyzed using multiple linear regression. The results showed significant positive effects of knowledge (B = 0.273, p = 0.000), attitude (B = 0.320, p = 0.001), and preparedness (B = 0.256, p = 0.001) on disaster mitigation. The regression model explained 50.7% of the variance in mitigation outcomes (Adjusted R² = 0.507). These findings suggest that behavioral factors are critical to improving disaster resilience and should be prioritized in community-based disaster risk reduction programs.

Journal of Educational AnalyticsVol. 4(3)
Universitas Syiah Kuala (ID)
Openalex Percentile: Top 68%
Disaster Management and Resilience
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Understanding the Behavioral Drivers of Landslide Mitigation: A Quantitative Assessment — Teuku Budi Aulia, Marthoenis Marthoenis, et al. · Journal of Educational Analytics (2025) | TGRS Research Map | TGRS