A Computational Framework for Modeling Access to Services and the Resilience Impacts of Electric Vehicles During Blackouts

Vehicle electrification poses the risk of making transportation unavailable during blackouts. Because of this, access to essential services will be significantly constrained in the event of a widespread power outage. We develop a generalizable computational framework to estimate the impacts of this link on access to services and apply it to North Carolina. Using open-source data, we model household-level energy consumption on access to supermarkets, parks and schools as well as daily commuting to work. We find that large driving distances paired with current vehicle technology lead to a significant risk of losing access for most of the population.We explore how the relationship between electric vehicle cost and battery capacity leads to increased risk for low-income households. We also find correlations between this risk and demographic variables like income and age. Equitable access to services is the most important aspect of community resilience, and the implications of complete vehicle electrification during blackouts need to be adequately incorporated by policy-makers.

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Publication Details

Journal
IEEE Access
Published
2025-01-01
DOI
https://doi.org/10.1109/access.2025.3629567
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
0.00
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article

A Computational Framework for Modeling Access to Services and the Resilience Impacts of Electric Vehicles During Blackouts

Benjamin Rachunok, Yamil Essus
IEEE Access
Electric Vehicles and Infrastructure
article

A Computational Framework for Modeling Access to Services and the Resilience Impacts of Electric Vehicles During Blackouts

Benjamin Rachunok, Yamil Essus
article en

Abstract

Vehicle electrification poses the risk of making transportation unavailable during blackouts. Because of this, access to essential services will be significantly constrained in the event of a widespread power outage. We develop a generalizable computational framework to estimate the impacts of this link on access to services and apply it to North Carolina. Using open-source data, we model household-level energy consumption on access to supermarkets, parks and schools as well as daily commuting to work. We find that large driving distances paired with current vehicle technology lead to a significant risk of losing access for most of the population.We explore how the relationship between electric vehicle cost and battery capacity leads to increased risk for low-income households. We also find correlations between this risk and demographic variables like income and age. Equitable access to services is the most important aspect of community resilience, and the implications of complete vehicle electrification during blackouts need to be adequately incorporated by policy-makers.

IEEE AccessVol. 13
North Carolina State University (US)
Openalex Percentile: Top 67%
Electric Vehicles and Infrastructure
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