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

Tommaso Piseddu, Mathilda Englund, Karina Barquet
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Abstract

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 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. We find that the different assumptions on which these methodologies rely deliver diverging results. We therefore recommend that future research adopt a sensitivity analysis that considers multiple and alternatives methods to evaluate survey results.
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评估数字技术在改善社会资本、风险意识和防备能力方面的潜力
摘要对社会资本、风险意识和备灾能力的贡献是检验数字技术在灾害风险管理领域应用的参数。我们在此提出对其中四项技术进行评估:移动定位数据、社交媒体众包、无人机和卫星成像,并重点关注可接受性和可行性。评估是通过在利益相关者中开展的一项调查进行的。分析框架还提供了一个机会,可借以研究不同的汇总和评估方法(即标准相关性标准重要性(CRITIC)模型、(欧氏)-距离标准相关性标准重要性(dCRITIC)模型、熵模型、平均权重模型和标准偏差模型)会在多大程度上影响人们对某项技术的偏好。我们发现,这些方法所依赖的不同假设会产生不同的结果。因此,我们建议今后的研究采用敏感性分析方法,考虑采用多种替代方法来评估调查结果。
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