09 Feb 2023
 | 09 Feb 2023
Status: a revised version of this preprint is currently under review for the journal NHESS.

An assessment of potential improvements in social capital, risk awareness, and preparedness from digital technologies

Tommaso Piseddu, Mathilda Englund, and Karina Barquet

Abstract. 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. We 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 10 results, the CRITIC model, the dCRITIC model, the Entropy model, the Mean Weight model and the Standard Deviation model, may influence the preference of one technology over the others. We find that the different assumptions on which these methodologies rely deliver diverging results. We therefore recommend future research to be based on a sensitivity analysis that considers multiple and alternatives methods to evaluate survey results.

Tommaso Piseddu et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on nhess-2023-8', Anonymous Referee #1, 11 Mar 2023
    • AC1: 'Reply on RC1', Tommaso Piseddu, 06 Aug 2023
  • RC2: 'Comment on nhess-2023-8', Anonymous Referee #2, 20 Jun 2023
    • AC2: 'Reply on RC2', Tommaso Piseddu, 06 Aug 2023

Tommaso Piseddu et al.

Tommaso Piseddu et al.


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Short summary
The manuscript deals with the necessity to understand to what extent the analysis of stakeholders' opinions in survey results is affected by the choices that researchers make. We look at four technologies that are objects to increased interest in the field of disaster risk management and find that different methodologies indeed produce different preferences over these. This work should pose as a warning to further research that seek to evaluate tools and technologies using survey results.