Indicator-based assessment of capacity development for disaster preparedness in the Indian context

Shine George () and P. P. Anil Kumar ()
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Shine George: Viswajyothi College of Engineering and Technology, P.O, Ernakulam District
P. P. Anil Kumar: National Institute of Technology, NIT Campus P.O

Environment Systems and Decisions, 2022, vol. 42, issue 3, 417-435

Abstract: Abstract Capacity building and monitoring of response capacity are critical to disaster preparedness. Assessing disaster response capacity is a challenging task in India due to diverse geo-climatic conditions and exposure to different disasters. This paper addresses the absence of a methodological framework to measure multiple aspects of the disaster response capacity of districts in India through indicators. 26 indicators were identified under four factors namely; resources, communication and coordination, budget, and community engagement; anchored on a theoretical framework evolved through literature survey and key informant interviews. Each factor was modelled as a linear function of indicators based on data-sets maintained by district authorities. A Composite Index was constructed as a weighted aggregation of four factors using weightings elicited through Questionnaire Surveys among 151 expert respondents. Weightings were derived through an extension of Technique for Order Preference by Similarity to Ideal Solutions (TOPSIS) to balance the variability in perceptions of respondents. As disasters demand quick response, assessment of response capacity with a fewer number of indicators is desirable. Therefore, a reduced set of critical indicators sensitive to the Indian context were derived through model reduction applying probabilistic and statistical methods— $${\mathrm{l}}_{2}$$ l 2 norm-based sensitivity analysis and coefficient of variation method. Critical indicators are: number of rescue and health service personnel, NGOs, Self-Help-Groups; efficacy of existing SOPs; literacy; and budget options. Robustness of the Composite Index was checked in terms of sensitivity to weightings and model reduction. The critical indicators and the Composite Index would sensitize decision-makers on disaster response capacities across districts.

Keywords: Disaster preparedness; Critical indicator; Composite index; Capacity development; TOPSIS; l2 norm-based sensitivity analysis (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s10669-022-09856-0

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