Social vulnerability to long-duration power outages

Bibliographic Data

ID22029281
AuthorsJesse Dugan (0000-0003-0703-429X, Colorado School of Mines, corresponding author), Dahlia Byles (0000-0001-5368-2218, Colorado School of Mines), Salman Mohagheghi (0000-0001-9024-7688, Colorado School of Mines)
Year2023
Volume85
Pages103501
Publication date2023-02-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Disaster Risk Reduction (JOURNAL)
Journal identifiersISSN: 2212-4209
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.ijdrr.2022.103501
OpenAlexW4313442800
LanguageEN
Citations received22
References cited59

Although long-duration power outages can lead to significant damages to the local economy, the human catastrophe that can potentially unfold due to the failure of essential services can far outweigh the financial damages incurred. Furthermore, power outages do not impact individuals equally, and access to proper resources (or lack thereof) can significantly affect how individuals deal with long-duration outages. Various socioeconomic and demographic characteristics have been shown in the literature to correlate with increased health risks, levels of power outage preparedness, and willingness and means to evacuate if necessary. This highlights the need to identify socially vulnerable groups and communities so that during such events information, assistance, and resources can be provided in a more targeted manner. This study presents a three-dimensional metric of social vulnerability to quantify the degree to which a person's life or livelihood is put at risk by a long-duration power outage. Dimensions of vulnerability include health, preparedness, and evacuation. Principal component analysis and an L2 norm model are applied to produce a single metric for each of the three dimensions of vulnerability. These three scores are then aggregated using Pareto ranking to determine an overall vulnerability score. A case study is presented for the state of Colorado using data from the 2020 US Census as well as other relevant federal and state datasets. The index put forth in this paper can be used by power utilities and other federal, state, or local authorities to plan and manage their operations during long-duration power outages in a more equitable way

Actuarial science · Business · Computer security · Damages · Economics · Environmental economics · Geography · Livelihood · Operations management · Political science · Preparedness · Computer Science · Disaster Management and Resilience · Disaster Response and Management · Engineering · Occupational Health and Safety Research

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