Mobility resilience to compounding disruptions: Power outages and social events

This study investigates mobility resilience and socioeconomic disparities in Harris County, Texas, during the 2021 winter storm and power outages, followed by overlapping social disruptions. While prior studies have focused on measuring impact severity or comparing aggregate mobility indicators before and after the storm, they often overlook how resilience unfolds over time, especially in outage-affected areas facing multiple, compounding shocks. We address these gaps by conceptualizing mobility resilience as a dynamic, multi-phase process and examining how communities respond to both physical (infrastructure failure) and social (spring break, COVID-19 policy) disruptions. Using nighttime light imagery to identify outages and mobile phone GPS data to measure nighttime home-stay duration, we model behavioral responses across disruption, stabilization, and recovery. Clustering these trajectories reveals three distinct resilience patterns linked to socioeconomic status. Notably, lower-income communities often show high statistical resilience—smaller mobility shifts—but this stability likely reflects constrained adaptive capacity, not robustness.

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Publication Details

Journal
Transportation Research Part D Transport and Environment
Published
2026-03-27
DOI
https://doi.org/10.1016/j.trd.2026.105343
Primary Topic
Infrastructure Resilience and Vulnerability Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Mobility resilience to compounding disruptions: Power outages and social events

Yujie Hu, Zeyu He
Transportation Research Part D Transport and Environment
Infrastructure Resilience and Vulnerability Analysis
article

Mobility resilience to compounding disruptions: Power outages and social events

Yujie Hu, Zeyu He
article en

Abstract

This study investigates mobility resilience and socioeconomic disparities in Harris County, Texas, during the 2021 winter storm and power outages, followed by overlapping social disruptions. While prior studies have focused on measuring impact severity or comparing aggregate mobility indicators before and after the storm, they often overlook how resilience unfolds over time, especially in outage-affected areas facing multiple, compounding shocks. We address these gaps by conceptualizing mobility resilience as a dynamic, multi-phase process and examining how communities respond to both physical (infrastructure failure) and social (spring break, COVID-19 policy) disruptions. Using nighttime light imagery to identify outages and mobile phone GPS data to measure nighttime home-stay duration, we model behavioral responses across disruption, stabilization, and recovery. Clustering these trajectories reveals three distinct resilience patterns linked to socioeconomic status. Notably, lower-income communities often show high statistical resilience—smaller mobility shifts—but this stability likely reflects constrained adaptive capacity, not robustness.

Transportation Research Part D Transport and EnvironmentVol. 155
University of Florida (US)
Climate action
Openalex Percentile: Top 7%
Infrastructure Resilience and Vulnerability Analysis
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