Understanding Infrastructure Resilience, Social Equity, and Their Interrelationships: Exploratory Study Using Social Media Data in Hurricane Michael
Publication: Natural Hazards Review
Volume 22, Issue 4
Abstract
The 2030 Global Sustainable Development Agenda of the United Nations highlights the importance of understanding the interlinkages of infrastructure, inequality, and resilience. However, there is limited research that studies the complex interrelationships between infrastructure resilience and social equity. To address the gap, this study aims to understand infrastructure resilience, social equity, and their interrelationships in the context of Hurricane Michael through an integrated analysis of social media data, census data, and disaster damage, relief, and recovery data. The results from the study reveal the following key findings. First, in the context of a disaster, Twitter activities have the potential to be used as an important indicator of infrastructure damage and recovery. Second, socially vulnerable populations are generally less active and represented on Twitter. However, under the same disaster threat level, they were shown to be more active on Twitter, which might be due to more significant hardships they experienced in the disaster. Third, communities with different social equity conditions experienced different levels of infrastructure damage and speeds of recovery. Communities with higher percentages of socially vulnerable populations experienced a relatively higher level of damage and required longer time for recovery. This research contributes to the body of knowledge by offering an improved understanding of social equity and infrastructure resilience in the context of Hurricane Michael using a data-driven approach. The findings from this research further reinforce the fundamental understanding that is needed for practitioners in the emergency management and infrastructure development areas to make human-sensitive decisions that facilitate equitable infrastructure resilience.
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Data Availability Statement
Some data that support the findings of this study are available from the corresponding author (Lu Zhang) upon reasonable request. These data include the Twitter data, the infrastructure resilience data, and the social equity data.
Acknowledgments
This material is partially based on work supported by the National Science Foundation under Grant No. 1933345. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
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Information & Authors
Information
Published In
Natural Hazards Review
Volume 22 • Issue 4 • November 2021
Copyright
© 2021 American Society of Civil Engineers.
History
Received: Nov 9, 2020
Accepted: Jun 9, 2021
Published online: Aug 14, 2021
Published in print: Nov 1, 2021
Discussion open until: Jan 14, 2022
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