Human-Infrastructure Interactional Dynamics: Simulating COVID-19 Pandemic Regime Shifts
Human-Infrastructure Interactional Dynamics: Simulating COVID-19 Pandemic Regime Shifts
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DOI：
10.1109/wsc48552.2020.9383932
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发表时间：
2020-12
期刊：
影响因子：
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通讯作者：
Neda Mohammadi;J. Taylor
中科院分区：
文献类型：
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作者：
Neda Mohammadi;J. Taylor
当受到破坏性事件的影响时，人类与基础设施的互动动态可以吸收、适应，或者以更突然的方式经历重大变化。当破坏性事件扰乱物理基础设施时，通常会研究这些变化。因此，基础设施的崩溃是人类与基础设施相互作用的临界点和可能的制度转变的指标。然而，在没有基础设施崩溃的情况下，确定全球大流行期间政权转移的可能性尚不清楚。在这项研究中，我们探索了全球COVID-19大流行期间整个美国人类与基础设施互动的动态，并确定了人类与六种不同类别基础设施互动的可能性。我们的研究结果强调了州一级特征、行政决策以及疫情影响程度的影响，这些因素是人类与基础设施互动中正在发生或幸存的政权转变的预测因素。
When subject to disruptive events, the dynamics of human-infrastructure interactions can absorb, adapt, or, in a more abrupt manner, undergo substantial change. These changes are commonly studied when a disruptive event perturbs the physical infrastructure. Infrastructure breakdown is, thus, an indicator of the tipping point, and possible regime shift, in the human-infrastructure interactions. However, determining the likelihood of a regime shift during a global pandemic, where no infrastructure breakdown occurs, is unclear. In this study, we explore the dynamics of human-infrastructure interactions during the global COVID-19 pandemic for the entire United States and determine the likelihood of regime shifts in human interactions with six different categories of infrastructure. Our results highlight the impact of state-level characteristics, executive decisions, as well as the extent of impact by the pandemic as predictors of either undergoing or surviving regime shifts in human-infrastructure interactions.