In this paper, Tommaso Piseddu, Mathilda Englund, and Karina Barquet evaluate digital technologies and tools for improving social capital, risk awareness, and disaster preparedness by using a multicriteria analysis.
Contributions to social capital, risk awareness, and preparedness constitute the parameters against which applications of digital technologies in the field of disaster risk management should be tested. The authors propose here an evaluation of four of these: mobile positioning data, social media crowdsourcing, drones, and satellite imaging, with an additional focus on acceptability and feasibility. The assessment is carried out through a survey disseminated among stakeholders. The frame of the analysis also grants the opportunity to investigate to what extent different methodologies to aggregate and evaluate the results, i.e., the Criteria Importance Through Criteria Correlation (CRITIC) model, the (Euclidean)-distance Criteria Importance Through Criteria Correlation (dCRITIC) model, the entropy model, the mean weight model, and the standard deviation model, may influence the preference of one technology over the others. The authors find that the different assumptions on which these methodologies rely deliver diverging results. They therefore recommend that future research adopt a sensitivity analysis that considers multiple and alternatives methods to evaluate survey results.
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