Understanding charging duration patterns of electric vehicle users: Evidence from an Australian field study

In this study, we examine the charging location and duration choices made by Australian electric vehicle owners over a one-week period. To do so, we employ a multivariate multiple discrete-grouped extreme value (MDGEV) model ( Bhat et al., 2020 ) that allows the simultaneous evaluation of where and for how long vehicles are charged across multiple locations, while also capturing potential correlation effects among charging sites. Further, state dependent variables are incorporated into the specification to capture habit persistence effects, whereby past charging choices influence subsequent decisions. The empirical findings indicate that solar panel ownership increases the likelihood of home charging but is associated with shorter charging durations compared with households without photovoltaic access. Residing in major cities is found to be linked to a greater reliance on non-home charging, confirming the prolonged challenges faced by electric vehicle owners in densely populated urban areas. Further, EV owners are found to exhibit routine behaviour when selecting the facility for their next charging activities. The estimated results are next used to investigate how charging duration patterns change under the universal adoption of solar panels and flexible electricity plans, revealing that both policies will impact the rate and duration of charging across locations.

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Publication Details

Journal
Transportation Research Part C Emerging Technologies
Published
2026-09-21
DOI
https://doi.org/10.1016/j.trc.2026.106023
Primary Topic
Electric Vehicles and Infrastructure
Type
article
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article

Understanding charging duration patterns of electric vehicle users: Evidence from an Australian field study

Andrea Matthew Pellegrini, Elisabetta Cherchi, John M. Rose
Transportation Research Part C Emerging Technologies
Electric Vehicles and Infrastructure
article

Understanding charging duration patterns of electric vehicle users: Evidence from an Australian field study

Andrea Matthew Pellegrini, Elisabetta Cherchi, John M. Rose
article en

Abstract

In this study, we examine the charging location and duration choices made by Australian electric vehicle owners over a one-week period. To do so, we employ a multivariate multiple discrete-grouped extreme value (MDGEV) model ( Bhat et al., 2020 ) that allows the simultaneous evaluation of where and for how long vehicles are charged across multiple locations, while also capturing potential correlation effects among charging sites. Further, state dependent variables are incorporated into the specification to capture habit persistence effects, whereby past charging choices influence subsequent decisions. The empirical findings indicate that solar panel ownership increases the likelihood of home charging but is associated with shorter charging durations compared with households without photovoltaic access. Residing in major cities is found to be linked to a greater reliance on non-home charging, confirming the prolonged challenges faced by electric vehicle owners in densely populated urban areas. Further, EV owners are found to exhibit routine behaviour when selecting the facility for their next charging activities. The estimated results are next used to investigate how charging duration patterns change under the universal adoption of solar panels and flexible electricity plans, revealing that both policies will impact the rate and duration of charging across locations.

Transportation Research Part C Emerging TechnologiesVol. 194
New York University Abu Dhabi (AE), The University of Sydney (AU)
Sustainable cities and communities
Openalex Percentile: Top 20%
Electric Vehicles and Infrastructure
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Understanding charging duration patterns of electric vehicle users: Evidence from an Australian field study — Andrea Matthew Pellegrini, Elisabetta Cherchi, et al. · Transportation Research Part C Emerging Technologies (2026) | TGRS Research Map | TGRS