Dynamic Multi-Criteria Decision-Making for Identifying Vulnerable Communities for Emergency Planning

Open Access
Conference Proceedings
Authors: Justine CaylorRobert Hammell

Abstract: Effective decision-making is critical for emergency planners before, during, and after emergencies or disasters. Making a timely decision in these situations is complicated and dynamic, presenting conflicting criteria amongst numerous alternatives. This work proposes augmenting the Multi-Criteria Decision-Making (MCDM) hybrid methodology of AHP-TOPSIS with dynamic-case handling (DCH) calculations. This method is evaluated with an illustrative example of three interrelated scenarios that rank ten counties based on vulnerability related to the COVID-19 pandemic. Empirical results demonstrate that the AHP-TOPSIS method coupled with DCH calculations is a realistic decision-making approach.

Keywords: Dynamic Multi-Criteria Decision-Making, Decision Support System, Emergency Planning, Ahp, Topsis, Covid-19

DOI: 10.54941/ahfe1001019

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