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ZENODO
Other literature type . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Other literature type . 2025
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2025
License: CC BY
Data sources: Datacite
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Landslide Susceptibility Mapping Using Logistic Regression and Analytical Hierarchy Process: Designing a Landslide Intervention Plan for Barangays Surrounding Mt. Arayat

Authors: Bien Jasper S. Canlas, Justine A. Batu, Gabriel Luijie M. Campita, Joyce P. Castañeda, Faith L. Comia, Jenny A. David, Ma. Angelu S. Castro, John Vincent G. Tongol;

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

Abstract

Landslide is a disaster characterized by falling debris in a slope which commonly occurs in mountainous regions. As thePhilippines geographic location possesses hazards to natural disasters, this country is not new in encountering landslides and itcauses substantial damage to communities and infrastructure. This study established the aimed comprehensive landslidesusceptibility 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 acomprehensive 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 planis based on the landslide susceptibility map along with the surveys that measures the awareness and preparedness of people livingnear Mt. Arayat. Overall, this study highlighted the importance of integrating statistical and community-based approaches tomitigate landslide risks effectively. 

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green