Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Community-scale Big Data Reveals Disparate Impacts of the Texas Winter
  Storm of 2021 and its Managed Power Outage   Aggregated community-scale data could be harnessed to allow insights into the
disparate impacts of managed power outages, burst pipes, and food
inaccessibility during extreme weather events. During Winter Storm Uri in
February 2021, Texas power-generating plant operators resorted to rolling
blackouts to prevent wider collapse of the whole power grid when power demand
overwhelmed supply. In this study, we collected community-scale big data (e.g.,
digital trace and crowdsourced data) in the context of the winter storm, which
brought historically low temperatures, snow, and ice to the entire state of
Texas. By analyzing this data, we can infer the extent of disparities in
storm-related impacts on vulnerable populations. In addition to assessing
disparate impacts of the managed power outage, this study also examined the
extent of burst pipes and disrupted access to food. Using statistical and trend
classification analyses, the results highlight the spatial and temporal
patterns of impacts for subpopulations in Harris County, Texas, within which
the city of Houston is located. In particular, findings show significant
disparity in the extent and duration of power outages experienced by low-income
and minority groups. This finding suggests that the existence of inequality in
the management and implementation of the power outage. Also, the extent of
burst pipes and disrupted food access were more severe for low-income and
minority groups. These findings suggest implications for understanding the
disparate impacts of extreme weather events on vulnerable populations; in
particular, the findings could provide insights allowing infrastructure
operators to enhance social equality considerations during managed service
disruptions in such events. The results and findings demonstrate the value of
community-scale big data sources for rapid impact assessment in the aftermath
of extreme weather events.

27
The categories of this paper are: comp-gas
31
The categories of this paper are: ao-sci
16
The categories of this paper are: stat
11
The categories of this paper are: hep-lat
9
The categories of this paper are: nlin
23
The categories of this paper are: solv-int
1
The categories of this paper are: cs
33
The categories of this paper are: plasm-ph
8
The categories of this paper are: hep-ex
15
The categories of this paper are: nucl-ex
35
The categories of this paper are: mtrl-th
17
The categories of this paper are: q-fin
20
The categories of this paper are: acc-phys
32
The categories of this paper are: atom-ph
36
The categories of this paper are: cmp-lg
18
The categories of this paper are: econ