@Article{rig.2025.072321,
AUTHOR = {Izzah Liyanamadihah Ibrahim, Nurhanisah Hashim, Ainon Nisa Othman, Noorfatekah Talib, Sarah Shaharuddin},
TITLE = {Landslide Susceptibility Assessment Using Analytical Hierarchy Process (AHP) in Hulu Selangor},
JOURNAL = {Revue Internationale de Géomatique},
VOLUME = {34},
YEAR = {2025},
NUMBER = {1},
PAGES = {915--937},
URL = {http://www.techscience.com/RIG/v34n1/64715},
ISSN = {2116-7060},
ABSTRACT = {This study aims to assess landslide susceptibility in Hulu Selangor, Selangor, Malaysia, an area that is exposed to rapid industrial and infrastructural growth. Six conditioning factors, such as slope, land use, lithology, road proximity, and river proximity, were integrated through the Analytic Hierarchy Process (AHP) in a GIS environment. The weights distribution analysis revealed slope (40.50%) and lithology (23.12%) as the most important factors, followed by river proximity (15.09%) and road proximity (13.76%). The developed susceptibility map was divided into five zones: very low (12.4%), low (18.7%), medium (35.6%), high (22.1%), and very high (11.2%). Model validation was performed using past landslide events, in which it was found that all the reported events in the study area were found in medium to very high susceptibility zones, with 100% accuracy. Notwithstanding this, the validation is limited by the low number of historical landslide locations, which tends to overestimate model performance. The outcome indicates that medium to high susceptibility zones dominate the district, particularly in large road and river networks, identifying the interaction between hydrological processes and human interference in influencing landslide instability. Aside from the scientific understanding of landslide hazard, the results also provide actionable recommendations for land use planning, infrastructure security, and site-specific mitigation strategies in Hulu Selangor.},
DOI = {10.32604/rig.2025.072321}
}