  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.
