Characterization of the Inherent Resilience of Large Cities to Natural Hazards
Publication: Journal of Engineering Mechanics
Volume 149, Issue 10
Abstract
In view that cities will continue to house the majority of the world’s population at an increasing rate in the face of climate change, this paper studies urban resilience by examining the response history of the mean-square displacement of the citizens of large cities prior to and upon historic natural hazards strike. The recorded mean-square displacements of large numbers of cellphone users from the cities of Houston, Miami, and Jacksonville when struck by hurricanes Harvey 2017, Irma 2017, and Dorian 2019 together with the recorded mean-square displacements of the citizens of Dallas and Houston when experiencing the 2021 North American winter storm suggest that large cities of average population density when struck by natural hazards are inherently resilient. The recorded mean-square displacements presented in this study also validate a mechanical model for cities, previously developed by the authors, that is rooted in Langevin dynamics and predicts that following a natural hazard, large cities revert immediately to their initial steady-state behavior and resume their normal, preevent activities. The inherent ability of large American cities to revert to their normal, preevent, steady-state response as evidenced in this study by the recorded mean-square displacement of their citizens needs to be further explored for other cities around the world with different resources, and socioeconomic structures.
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Data Availability Statement
All data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
This work was funded by the SMU/Bush Institute postdoctoral program and by the SMU-Lyle interdisciplinary seed funding initiative with No. 20-43-0061-S320086. Data analysis was performed on the ManeFrame II (M2): high-performance computing (HPC) cluster supported by SMU Research and Data Science Services.
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Received: Dec 2, 2022
Accepted: May 22, 2023
Published online: Jul 28, 2023
Published in print: Oct 1, 2023
Discussion open until: Dec 28, 2023
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