Powering and mobility through disasters: a dial-a-ride problem for electric taxis with charging and discharging regulations

This study proposes an integrated strategy to effectively utilize electric taxis (ETs) for post-event recovery of power distribution networks (DNs) in disaster scenarios. The approach addresses a dial-a-ride problem (DARP) by coordinating charging and discharging regulations to improve grid security. It focuses on optimal taxi routes, considering charging, and limited range. The model highlights proactive strategies such as pre-positioning electric taxis (ETs) with vehicle-to-grid (V2G) capabilities and reconfiguring the power distribution network. A network interdiction strategy is implemented to reduce cyberattacks on the power distribution network. The results demonstrated the importance of a holistic approach considering various factors, including routing costs, cybersecurity implications, and optimal power flow constraints. When tested with New York taxi data, the hybrid planning approach emerged as the most effective model. It resulted in the lowest total tour length, reduced power load shedding, and fewer vulnerable system nodes to cyberattacks compared to other cases examined.

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Publication Details

Journal
Scientific Reports
Published
2025-12-30
DOI
https://doi.org/10.1038/s41598-025-29476-3
Primary Topic
Transportation and Mobility Innovations
Type
article
Field-Weighted Citation Impact
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article

Powering and mobility through disasters: a dial-a-ride problem for electric taxis with charging and discharging regulations

Hamid R. Sayarshad
Scientific Reports
Transportation and Mobility Innovations
article

Powering and mobility through disasters: a dial-a-ride problem for electric taxis with charging and discharging regulations

Hamid R. Sayarshad
article en

Abstract

This study proposes an integrated strategy to effectively utilize electric taxis (ETs) for post-event recovery of power distribution networks (DNs) in disaster scenarios. The approach addresses a dial-a-ride problem (DARP) by coordinating charging and discharging regulations to improve grid security. It focuses on optimal taxi routes, considering charging, and limited range. The model highlights proactive strategies such as pre-positioning electric taxis (ETs) with vehicle-to-grid (V2G) capabilities and reconfiguring the power distribution network. A network interdiction strategy is implemented to reduce cyberattacks on the power distribution network. The results demonstrated the importance of a holistic approach considering various factors, including routing costs, cybersecurity implications, and optimal power flow constraints. When tested with New York taxi data, the hybrid planning approach emerged as the most effective model. It resulted in the lowest total tour length, reduced power load shedding, and fewer vulnerable system nodes to cyberattacks compared to other cases examined.

Scientific ReportsVol. 15(1)
Cornell University (US)
Climate action
Openalex Percentile: Top 44%
Transportation and Mobility Innovations
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