Decoding the Pulse of Community during Disasters: Resilience Analysis Based on Fluctuations in Latent Lifestyle Signatures within Human Visitation Networks
CoRR(2024)
摘要
Examining the impact of disasters on life activities of populations is
critical for understanding community resilience dynamics, yet it remains
insufficiently studied in the existing literature. In this study, we leveraged
data from more than 1.2 million anonymized human mobility communications across
30 parishes in Louisiana to construct a temporal network that tracks visitation
to places from which we characterized human lifestyle signatures before,
during, and after Hurricane Ida in 2021. Utilizing the motif model, we
distilled complex human lifestyles into identifiable patterns and clustered
them into classes: commute, healthcare, dining out, and youth-oriented
lifestyle. We defined two metrics to evaluate disruption and recovery
fluctuations in lifestyle patterns during the perturbation period compared to
the steady period: 1) frequency (daily number of motifs), and 2) proximity
(daily average distance of motifs). The results indicate significant dynamics
in lifestyle patterns due to the hurricane, with essential facilities (e.g.,
healthcare) demonstrating a swift recovery. The study underscores the
heterogeneity of locations visited and the necessity of integrating both
essential and non-essential facilities into disaster response initiatives.
Furthermore, our study reveals sustained changes in lifestyle patterns,
highlighting the long-term impact of the hurricane on daily life. These
insights demonstrate the significance of examining lifestyle signatures and
their fluctuations in evaluating disaster resilience patterns for affected
communities. The outcomes of this study are poised to aid emergency managers
and public officials to more effectively evaluate and monitor disaster impacts
and recovery based on changes in lifestyle patterns in the community.
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