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Can socio-economic indicators of vulnerability help predict spatial variations in the duration and severity of power outages due to tropical cyclones?

Journal Article · · Environmental Research Letters
Abstract

Tropical cyclones are the leading cause of major power outages in the U.S., and their effects can be devastating for communities. However, few studies have holistically examined the degree to which socio-economic variables can explain spatial variations in disruptions and reveal potential inequities thereof. Here, we apply machine learning techniques to analyze 20 tropical cyclones and predict county-level outage duration and percentage of customers losing power using a comprehensive set of weather, environmental, and socio-economic factors. Our models are able to accurately predict these outage response variables, but after controlling for the effects of weather conditions and environmental factors in the models, we find the effects of socio-economic variables to be largely immaterial. However, county-level data could be overlooking effects of socio-economic disparities taking place at more granular spatial scales, and we must remain aware of the fact that when faced with similar outage events, socio-economically vulnerable communities will still find it more difficult to cope with disruptions compared to less vulnerable ones.

Research Organization:
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
USDOE; USDOE National Nuclear Security Administration (NNSA); USDOE Office of Cybersecurity, Energy Security, and Emergency Response (CESER), Infrastructure Security and Energy Restoration (ISER)
Grant/Contract Number:
NA0003525
OSTI ID:
2329555
Alternate ID(s):
OSTI ID: 2325543
OSTI ID: 2333729
Report Number(s):
SAND--2024-03982J
Journal Information:
Environmental Research Letters, Journal Name: Environmental Research Letters Journal Issue: 4 Vol. 19; ISSN 1748-9326
Publisher:
IOP PublishingCopyright Statement
Country of Publication:
United Kingdom
Language:
English

References (30)

Optimizing scheduling of post-earthquake electric power restoration tasks journal January 2007
Assessment of the hurricane-induced power outages from a demographic, socioeconomic, and transportation perspective journal March 2018
Socioeconomic vulnerability and electric power restoration timelines in Florida: the case of Hurricane Irma journal August 2018
Measuring Capacities for Community Resilience journal January 2010
A method for creating high resolution maps of social vulnerability in the context of environmental hazards journal September 2015
Community resilience to power outages after disaster: A case study of the 2010 Chile earthquake and tsunami journal March 2019
Estimating the spatial distribution of power outages during hurricanes in the Gulf coast region journal February 2009
Thematic accuracy assessment of the NLCD 2016 land cover for the conterminous United States journal May 2021
Tropical cyclone-blackout-heatwave compound hazard resilience in a changing climate journal July 2022
Spatiotemporal distribution of power outages with climate events and social vulnerability in the USA journal April 2023
Hurricane-induced power outage risk under climate change is primarily driven by the uncertainty in projections of future hurricane frequency journal September 2020
Community-scale big data reveals disparate impacts of the Texas winter storm of 2021 and its managed power outage journal September 2022
Negative Binomial Regression of Electric Power Outages in Hurricanes journal December 2005
Effects of Infrastructure Service Disruptions Following Hurricane Irma: Multilevel Analysis of Postdisaster Recovery Outcomes journal February 2021
Risk and Adaptation: Evidence from Global Hurricane Damages and Fatalities
  • Bakkensen, Laura A.; Mendelsohn, Robert O.
  • Journal of the Association of Environmental and Resource Economists, Vol. 3, Issue 3 https://doi.org/10.1086/685908
journal September 2016
Predicting Hurricane Power Outages to Support Storm Response Planning journal January 2014
A Study on the Association of Socioeconomic and Physical Cofactors Contributing to Power Restoration After Hurricane Maria journal January 2021
Social Vulnerability to Environmental Hazards* journal June 2003
Comparison and Validation of Statistical Methods for Predicting Power Outage Durations in the Event of Hurricanes: Comparison and Validation of Statistical Methods journal April 2011
Power Outage Estimation for Tropical Cyclones: Improved Accuracy with Simpler Models: Power Outage Estimation for Tropical Cyclones journal October 2013
Improving Hurricane Power Outage Prediction Models Through the Inclusion of Local Environmental Factors journal October 2016
A Factor Analysis Approach Toward Reconciling Community Vulnerability and Resilience Indices for Natural Hazards journal June 2020
Moral Hazard, Social Catastrophe: The Changing Face of Vulnerability along the Hurricane Coasts journal March 2006
BART: Bayesian additive regression trees journal March 2010
machine. journal October 2001
Assessing United States County-Level Exposure for Research on Tropical Cyclones and Human Health journal October 2020
bartMachine: Machine Learning with Bayesian Additive Regression Trees journal January 2016
Spatial regression identifies socioeconomic inequality in multi-stage power outage recovery after Hurricane Isaac preprint February 2023
Disaster Resilience Indicators for Benchmarking Baseline Conditions journal January 2010
A Social Vulnerability Index for Disaster Management journal January 2011