Integrating AHP Decision-Making Tool for Landslide Susceptibility Zone Mapping: Insights from Mandi, Himachal Pradesh

Payal Mahato, Supriya Srivastava () and Sadanand Pandey ()
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Payal Mahato: Shoolini University
Supriya Srivastava: Shoolini University
Sadanand Pandey: Shoolini University

SN Operations Research Forum, 2025, vol. 6, issue 4, 1-38

Abstract: Abstract Mandi district in Himachal Pradesh, located in the seismically active Western Himalayas, is highly landslide-prone due to complex geology, steep terrain, and human pressures. Using GIS, RS, and AHP, a landslide susceptibility zone (LSZ) map was developed based on eight geo-environmental parameters. Lineament density (18.85%), soil type (17.8%), and slope (15.97%) emerged as the most influential factors. The map identifies 9.12% of the area as high-risk, 67.55% as moderate-risk, and 23.33% as low-risk, with an AUC-based validation accuracy of 73% using 918 historical landslides and Google Earth imagery. Rainfall is the dominant trigger (88.32%), followed by anthropogenic activities (10.41%) such as slope cutting and settlement expansion. LULC analysis shows built-up (11.77%) and rangeland (32.82%) as highly susceptible, while vegetation cover (52.38%) corresponds with low risk. Incorporating NGT guidelines, a 100 m buffer around water bodies reveals that 0.24% of built-up land and 96 infrastructure facilities fall in high-risk zones, demanding urgent policy measures. The socio-economic assessment further indicates that high-risk zones overlap with dense populations. Overall, defining hazard zones provides vital inputs for sustainable land-use planning, disaster mitigation, and early warning systems in mountain regions.

Keywords: Landslide susceptibility zone (LSZ); Analytical hierarchy process (AHP); Geographic information system (GIS); Risk assessment; National Green Tribunal (NGT); Socio-economic vulnerability (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s43069-025-00560-8

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