Charging Station Operation Strategies for the Ride-Hailing Platform With New Energy Vehicles: Independence, Cooperation or Registration

With the widespread adoption of new energy vehicles (NEVs) in the ride-hailing market, optimizing charging station operation strategies to enhance service efficiency has become a critical concern for ride-hailing platforms. This study investigates a ride-hailing market comprising a ride-hailing platform, a charging provider, and an NEV rental company. The paper proposes three distinct strategies — independence, cooperation, and registration — and assesses their impact on both the profitability of market participants and the overall social welfare. We find that, when determining the optimal strategy, the platform must consider multiple market factors, including the construction cost coefficient of charging stations. First, under conditions of high commission rates, low government subsidies, and low technology service fees, the platform can achieve maximum profit through the cooperation strategy. Additionally, when the construction cost coefficient reaches a sufficiently high level, the platform still tends to adopt the cooperation strategy even with moderate levels of government subsidies and technology service fees, illustrating the flexibility of feasible conditions. Furthermore, a lower technology service fee is vital to achieve a win-win outcome between the platform and the charging provider. Second, beyond scenarios with high commission rates, subsidies, and technology service fees, the platform also chooses to register a charging service company under scenarios with moderate subsidies and low technology service fees or with low commission rates. Finally, the extended model further explores various real-world scenarios, verifies the robustness of the main conclusions, and reveals several new research findings.

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Publication Details

Journal
IEEE Transactions on Engineering Management
Published
2025-01-01
DOI
https://doi.org/10.1109/tem.2025.3586851
Citations
3
Primary Topic
Transportation and Mobility Innovations
Type
article
Field-Weighted Citation Impact
2.05

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article

Charging Station Operation Strategies for the Ride-Hailing Platform With New Energy Vehicles: Independence, Cooperation or Registration

Bin Li, Weihua Zhang, Zeshui Xu, Meng Zhao
3 citations
IEEE Transactions on Engineering Management
Transportation and Mobility Innovations
2.05
article

Charging Station Operation Strategies for the Ride-Hailing Platform With New Energy Vehicles: Independence, Cooperation or Registration

Bin Li, Weihua Zhang, Zeshui Xu, Meng Zhao
article en
3 citations

Abstract

With the widespread adoption of new energy vehicles (NEVs) in the ride-hailing market, optimizing charging station operation strategies to enhance service efficiency has become a critical concern for ride-hailing platforms. This study investigates a ride-hailing market comprising a ride-hailing platform, a charging provider, and an NEV rental company. The paper proposes three distinct strategies — independence, cooperation, and registration — and assesses their impact on both the profitability of market participants and the overall social welfare. We find that, when determining the optimal strategy, the platform must consider multiple market factors, including the construction cost coefficient of charging stations. First, under conditions of high commission rates, low government subsidies, and low technology service fees, the platform can achieve maximum profit through the cooperation strategy. Additionally, when the construction cost coefficient reaches a sufficiently high level, the platform still tends to adopt the cooperation strategy even with moderate levels of government subsidies and technology service fees, illustrating the flexibility of feasible conditions. Furthermore, a lower technology service fee is vital to achieve a win-win outcome between the platform and the charging provider. Second, beyond scenarios with high commission rates, subsidies, and technology service fees, the platform also chooses to register a charging service company under scenarios with moderate subsidies and low technology service fees or with low commission rates. Finally, the extended model further explores various real-world scenarios, verifies the robustness of the main conclusions, and reveals several new research findings.

IEEE Transactions on Engineering ManagementVol. 72
Sichuan University (CN), Northumbria University (GB), Northeastern University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Hebei Province, Fundamental Research Funds for the Central Universities
Affordable and clean energy
Openalex Percentile: Top 13%
Transportation and Mobility Innovations
2.05
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