Open Access
American Research Journal of Humanities and Social Sciences
ISSN (Online): 2378-7031
DOI: 10.46568/arjhss
An Empirical Quantitative Model Based on the Composite Disaster Risk Index to Estimate the Quantum of Disaster Response Force for a State / Union Territory
Chitkara University, Chandigarh*;
Department of Statistics, University of Lucknow, Lucknow**
Army Institute of Law, Sector 68, SAS Nagar***
fear_naught@hotmail.com
profsheelamisra@gmail.com
priyankaverma.stats@gmail.com
arundhati0104@gmail.com
Department of Statistics, University of Lucknow, Lucknow**
Army Institute of Law, Sector 68, SAS Nagar***
fear_naught@hotmail.com
profsheelamisra@gmail.com
priyankaverma.stats@gmail.com
arundhati0104@gmail.com
Citation: Col. Gaurav Bhatia, Sheela Misra, Priyanka Verma and Arundhati Bhatia ,“An Empirical Quantitative Model Based
on the Composite Disaster Risk Index to Estimate the Quantum of Disaster Response Force for a State / Union Territory”.
American Research Journal of Humanities and Social sciences, Vol 7, no. 1, 2021, pp. 1-8.
Abstract
Instances of natural and anthropogenic disasters are on a steadyrise, all over the world. These instances have accentuated the need for a well-trained, adequately
equipped force to ensure that mitigation measures are in place, preparedness for disasters is complete as also to conductrelief and rescue operations when
disasters strike. The answer to a simple question - “What is the most appropriate strength of a Disaster Response Force at a State / Union Territory (UT) level?”
proved to be the start point for this intriguing academic study. While evaluating the Disaster Score Cards (DSC) for each State / UT, aspects such as the Population,
Number of Districts, GDP, Hazards, Vulnerability, Exposure, Capacity were considered. The basic equation of Risk=[Hazard ×Vulnerability ×((Exposure )/Capacity)
] forms the bedrock of the study which draws on existing datasets based on a set of common indicators for deriving the variables for each State and UT in the
above-mentioned equation, on a scale of 1 - 10. These values collectively derive a Composite Disaster Risk Index (DRI), and a Disaster Resilience Index (DResI)
based on a scale of 1 to 100. These factors together are evaluated to arrive at a cogent, empirically sound quantitative model to estimate the probable strength
of a Disaster Response Force, which may be mandated for a particular State / UT.