Citation

Bera S, Guru B, Chatterjee R, Shaw R. Int. J. Disaster Risk Reduct. 2020; 46: e101456.

Copyright

(Copyright © 2020, Elsevier Publishing)

DOI

10.1016/j.ijdrr.2019.101456

PMID

unavailable

Abstract

Building resilience of households in landslide hazard-prone area can be a significant way of disaster risk reduction. Although the studies on resilience are increasing, assessing resilience to a localized disaster like landslide at household-based scale is still limited. This study proposes a set of indicators to evaluate the resilience of household considering the specific character of landslide hazard. Further, the study answers how and why the resilience level varies on the space. The study assigned resilience adopting an indicator-based approach where overall resilience value is composed of four dimensions: environmental, social, economic and physical. Each dimension is composed of several variables which are derived using a mix of GIS and participatory approaches. The weight of each variable and dimension was calculated using the min-max normalization method. The data was collected from 332 households in thirteen sites frequented by landslides in Kalimpong district of India. The surveyed households are located in both urban (n = 112) and rural areas (n = 220) and of different physiographic condition. The findings suggest that the households of rural areas in the eastern part of the ridge are less resilient and the households of urban area near the top of the ridge are relatively high resilient. The higher degree of exposure to landslide, unequal economic status, and unequal infrastructure development are the main causes of the variation of resilience among the households. Although the study focused on Kalimpong region, this research method could also be applied to other landslide-prone areas of the world.

Language: en

Keywords

GIS; Household; Indicator; Landslide; Resilience; Spatial variation