This paper aims to derive a quantitative model to evaluate the impact of information flow on the effectiveness of delivering federal assistance to the community . 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. Based on the model, the probability of community satisfaction is computed to reflect the effectiveness of the disaster responseprocess. An illustrative example is provided to demonstrate the applicability and interpretability of the derived  model. Practically, the research outputs interpretable insights for governmental stakeholders to evaluate the impact of information flow on their disaster response processes, so that critical stakeholders can be identified and targeted proactive actions can be taken for enhanced disaster response.
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.
R
delivering federal assistance to the community
disaster response
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Based on the
Using the proposed
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the disaster responseprocess. An illustrative
disaster response. A hypothetical
A
quantitative
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outputs
provides governmental stakeholders
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governmental stakeholders to evaluate
evaluating
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processes,
effectiveness
D
identified and
D
can be taken