解码灾害期间社区脉搏：基于人类访问网络中潜在生活方式特征波动的韧性分析
Decoding the Pulse of Community during Disasters: Resilience Analysis Based on Fluctuations in Latent Lifestyle Signatures within Human Visitation Networks
AI总结：
本研究基于路易斯安那州120余万条移动数据构建访问网络，利用motif模型提取生活方式特征并定义频率与邻近度指标，揭示了飓风艾达后社区生活方式的中断与恢复动态，为灾害韧性评估和应急管理提供依据。
摘要：
考察灾害对人群生活活动的影响对于理解社区韧性动态至关重要，但现有文献对此研究仍不充分。本研究利用路易斯安那州30个教区超过120万条匿名人类移动通信数据，构建了一个追踪地点访问的时间网络，据此刻画了2021年飓风艾达之前、期间和之后的人类生活方式特征。利用motif模型，我们将复杂的人类生活方式提炼为可识别的模式，并将其聚类为通勤、医疗、外出就餐和青年导向型生活方式等类别。我们定义了两个指标来评估扰动期与平稳期相比生活方式模式的破坏和恢复波动：1）频率（每日motif数量），以及2）邻近度（每日motif平均距离）。结果表明，飓风导致生活方式模式发生显著动态变化，其中必要设施（如医疗设施）表现出快速恢复。本研究强调了所访问地点的异质性，以及将必要和非必要设施同时纳入灾害响应举措的必要性。此外，我们的研究揭示了生活方式模式的持续性变化，凸显了飓风对日常生活的长期影响。这些见解表明，考察生活方式特征及其波动对于评估受灾社区的灾害韧性模式具有重要意义。本研究成果有望帮助应急管理人员和公共官员基于社区生活方式模式的变化，更有效地评估和监测灾害影响与恢复情况。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
