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Aggregated community-scale data could be harnessed to allow insights into thedisparate impacts of managed power outages, burst pipes, and foodinaccessibility during extreme weather events. During Winter Storm Uri inFebruary 2021, Texas power-generating plant operators resorted to rollingblackouts to prevent wider collapse of the whole power grid when power demandoverwhelmed supply. In this study, we collected community-scale big data (e.g.,digital trace and crowdsourced data) in the context of the winter storm, whichbrought historically low temperatures, snow, and ice to the entire state ofTexas. By analyzing this data, we can infer the extent of disparities instorm-related impacts on vulnerable populations. In addition to assessingdisparate impacts of the managed power outage, this study also examined theextent of burst pipes and disrupted access to food. Using statistical and trendclassification analyses, the results highlight the spatial and temporalpatterns of impacts for subpopulations in Harris County, Texas, within whichthe city of Houston is located. In particular, findings show significantdisparity in the extent and duration of power outages experienced by low-incomeand minority groups. This finding suggests that the existence of inequality inthe management and implementation of the power outage. Also, the extent ofburst pipes and disrupted food access were more severe for low-income andminority groups. These findings suggest implications for understanding thedisparate impacts of extreme weather events on vulnerable populations; inparticular, the findings could provide insights allowing infrastructureoperators to enhance social equality considerations during managed servicedisruptions in such events. The results and findings demonstrate the value ofcommunity-scale big data sources for rapid impact assessment in the aftermathof extreme weather events.

Community-scale Big Data Reveals Disparate Impacts of the Texas Winter Storm of 2021 and its Managed Power Outage