When Climate Mitigation Meets the Needs of Adaptation: Closing the Resilience Gap for EV Charging Services in Hurricane-Prone Areas
Publication: Journal of Management in Engineering
Volume 40, Issue 5
Abstract
Transportation electrification aims to mitigate climate change but will also introduce challenges to adaptation planning and management of infrastructure and facilities. Concurrently, these challenges can be amplified by vulnerabilities arising from the growing intense climate and weather events, such as heavy precipitation and tropical cyclones. Given their role in channeling the mobility of residents under environmental shocks, public electric vehicle charging stations (EVCS) need to exhibit resilience, i.e., the ability to withstand, respond to, and recover from disruptions. EVCS service flow can be disturbed not only by physically damaging charging stations but also by impeding the station-user interactions along spatial networks. To our best knowledge, the user-centric resilience of EVCS networks, when confronted with present and anticipated shocks, has not been well studied. We introduce a novel bipartite network of EVCSs and users (BNEU) to conceptualize the resilience of neighborhood charging service flows under environmental shocks using three-level resilience metrics. We then correlate the resilience of BNEU with the physical, socioeconomic, and topological characteristics. Furthermore, we develop a counterfactual analytical framework using a multiagent-based model to simulate users’ charging activities in worse-case scenarios of a real-world hurricane, with intensified wind and flood hazards. Through a case study of Hurricane Ian’s disturbances on the BNEU in the Tampa Bay area, we find that topologically dispersed subnetworks and stations or user nodes with higher average degree show greater resilience. We also uncover uneven charging opportunities for older adults and low-income populations under disturbances, which could be exacerbated by worse-case hurricane scenarios. The counterfactual analytical framework further informs strategic infrastructure planning for the forward-looking resilience of EVCS network in coastal communities, thus closing the resilience gap in the adaptation of mitigation measures.
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Data Availability Statement
Python codes generated for agent-based modeling and simulation results of charging activities are available from the corresponding author upon reasonable request.
Acknowledgments
This material is based on work supported by the National Science Foundation under Grant Nos. 2124858 and 2316450. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.
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Journal of Management in Engineering
Volume 40 • Issue 5 • September 2024
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© 2024 American Society of Civil Engineers.
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Received: Sep 16, 2023
Accepted: Apr 3, 2024
Published online: Jul 3, 2024
Published in print: Sep 1, 2024
Discussion open until: Dec 3, 2024
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