论文标题
了解使用吸收马尔可夫链时灾难响应期间信息流动的动态
Understanding the Dynamics of Information Flow During Disaster Response Using Absorbing Markov Chains
论文作者
论文摘要
本文旨在得出一个定量模型，以评估信息流对灾害响应有效性的影响。该模型的核心是一种专门的吸收马尔可夫连锁店，该连锁店为社区提供联邦援助的过程，同时考虑利益相关者的互动和信息流不确定性。使用所提出的模型，计算社区满意度的可能性以反映灾难反应的有效性。提供了一个假设的例子来证明派生的定量模型的适用性和解释性。实际上，该研究为政府利益相关者提供了可解释的见解，以评估信息流对其灾难反应效果的影响，从而使关键的利益相关者可以采取积极行动来提高灾难反应。
This paper aims to derive a quantitative model to evaluate the impact of information flow on the effectiveness of disaster response. At the core of the model is a specialized absorbing Markov chain that models the process of delivering federal assistance to the community while considering stakeholder interactions and information flow uncertainty. Using the proposed model, the probability of community satisfaction is computed to reflect the effectiveness of disaster response. A hypothetical example is provided to demonstrate the applicability and interpretability of the derived quantitative model. Practically, the research provides governmental stakeholders interpretable insights for evaluating the impact of information flow on their disaster response effectiveness so that critical stakeholders can be targeted proactive actions for enhanced disaster response.
