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Title: Human-Infrastructure Interactional Dynamics: Simulating COVID-19 Pandemic Regime Shifts
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.  more » « less
Award ID(s):
1837021
PAR ID:
10296646
Author(s) / Creator(s):
;
Editor(s):
Bae, K.-H.; Feng, B.; Kim, S.; Lazarova-Molnar, S.; Zheng, Z.; Roeder, T.; Thiesing, R.
Date Published:
Journal Name:
Proceedings of the 2020 Winter Simulation Conference
Page Range / eLocation ID:
727 to 735
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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