Analytic hierarchy process and information value method-based landslide susceptibility mapping and vehicle vulnerability assessment along a highway in Sikkim Himalaya

  • Polash Banerjee
  • Mrinal Kanti Ghose
  • Ratika Pradhan
Original Paper


In hilly areas, highway projects can be a cause of landslides as well as an element of vulnerability due to landslides. Hence, landslide susceptibility mapping of highway corridors can substantially mitigate loss of life and property. For this, a Landslide Susceptibility Assessment Model (LSAM) was developed for a corridor of 27 km along NH 10 in the East Sikkim. Landslide inducing factors viz. Aspect, Distance from Fault, Distance from Road, Drainage Density, Land use and Land cover, Lithology, Plan Curvature, Rainfall, Slope, Soil Depth, and Soil Texture were considered for the study. Results show that areas in proximity to the highway and areas with steeper slope had a higher landslide susceptibility than otherwise. Spatial explicit sensitivity analysis indicated that LSAM was sensitive to distance from the highway and slope. Vehicle vulnerability assessment of base year and horizon years showed that vulnerability increased through time. LSAM is appropriate for hazard mitigation for areas with poor historical data on landslides.


Landslide susceptibility mapping Sensitivity analysis Highway Himalaya 



Landslide Susceptibility Assessment Model


Multi-criteria decision making


Analytic hierarchy process


Landslide susceptibility map(s)


Spatial explicit sensitivity analysis


One at a time


Information Value Method


Land use and Land cover


Landslide inducing factor(s)


Border Road Organization


Landslide susceptibility value


Impact Category Change Rate


Mean Absolute Change Rate


Information Value(s)



We would like to thank the Faculty members of the Dept. of Geology, Sikkim University; Mr. D. G. Shresthra and Mr. N. Sharma of Sikkim State Remote Sensing Applications Centre; Border Roads Organization, Melli; Dr. L.P. Sharma of National Informatics Centre, Gangtok; and Mr. S.D. Bhutia of Tashi Namgyal Academy for extending their expertise and logistics to complete this study.


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Copyright information

© Saudi Society for Geosciences 2018

Authors and Affiliations

  1. 1.Department of Computer Science & EngineeringSMIT, Sikkim Manipal UniversityRangpoIndia
  2. 2.Department of Computer ApplicationsSikkim UniversityGangtokIndia
  3. 3.Department of Computer ApplicationsSMIT, Sikkim Manipal UniversityRangpoIndia

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