  Delay/Disruption-Tolerant Networks (DTNs) have been around for more than a
decade and have especially been proposed to be used in scenarios where
communication infrastructure is unavailable. In such scenarios, DTNs can offer
a best-effort communication service by exploiting user mobility. Natural
disasters are an important application scenario for DTNs when the cellular
network is destroyed by natural forces. To assess the performance of such
networks before deployment, we require appropriate knowledge of human mobility.
  In this paper, we address this problem by designing, implementing, and
evaluating a novel mobility model for large-scale natural disasters. Due to the
lack of GPS traces, we reverse-engineer human mobility of past natural
disasters (focusing on 2010 Haiti earthquake and 2013 Typhoon Haiyan) by
leveraging knowledge of 126 experts from 71 Disaster Response Organizations
(DROs). By means of simulation-based experiments, we compare and contrast our
mobility model to other well-known models, and evaluate their impact on DTN
performance. Finally, we make our source code available to the public.
