Landslide Susceptibility Mapping Using Logistic Regression and Analytical Hierarchy Process: Designing a Landslide Intervention Plan for Barangays Surrounding Mt. Arayat

Landslide is a disaster characterized by falling debris in a slope which commonly occurs in mountainous regions. As the
Philippines geographic location possesses hazards to natural disasters, this country is not new in encountering landslides and it
causes substantial damage to communities and infrastructure. This study established the aimed comprehensive landslide
susceptibility map and Disaster Risk Reduction and Management (DRRM) plan for the barangays surrounding Mt. Arayat,
Pampanga. The research utilized statistical methods such as Logistic Regression and Analytical Hierarchy Process in designing a
comprehensive landslide map based on the 12 factors which are: Slope, Aspect, Elevation, Curvature, Soil type, Rock types,
Distance to rivers, Topographic wetness index, Rainfall, LULC, Vegetations, and Distance to roads. The proposed DRRM plan
is based on the landslide susceptibility map along with the surveys that measures the awareness and preparedness of people living
near Mt. Arayat. Overall, this study highlighted the importance of integrating statistical and community-based approaches to
mitigate landslide risks effectively.