A reliable-charging network is urgently demanded to support electrified ride-sourcing services due to their shorter dwell time, longer daily vehicle miles traveled, and concerns of sacrificing revenue for charging activities. We developed an integer programming (IP) model for the optimal allocation of charging stations and charging plugs to minimize the total investment costs and spatio-temporal varying drivers’ value of time (VOT) for charging activities. The trip chain data of the RideAustin ride-sourcing services have been used as a test case, based on which we estimated the charging needs of ride-sourcing EVs and identified candidate charging locations to fulfill the daily travel needs of ride-sourcing drivers. Through numerical study and sensitivity analyses, we analyze the impacts of different charger types, fleet sizes, government incentives, and VOT considerations on the optimal investment plans and system costs, and show the importance of considering ride-sourcing drivers’ VOT into charging infrastructure planning.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Charging infrastructure planning for ride-sourcing electric vehicles considering drivers’ value of time


    Contributors:

    Published in:

    Transportation Letters ; 15 , 6 ; 573-583


    Publication date :

    2023-07-03


    Size :

    11 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




    On the Relocation Behavior of Ride-sourcing Drivers

    Ashkrof, Peyman / Homem de Almeida Correia, Gonçalo / Cats, Oded et al. | Taylor & Francis Verlag | 2024

    Free access

    Investigating the Relocation Behavior of Ride-sourcing Drivers

    Ashkrof, Peyman / Almeida-Correia, Gonçalo Homem de / Cats, Oded et al. | TIBKAT | 2022

    Free access

    Ride Acceptance Behaviour Investigation of Ride-sourcing Drivers Through Agent-based Simulation

    Ghasemi, Farnoud / Ashkrof, Peyman / Kucharski, Rafal | TIBKAT | 2022

    Free access

    Ride Acceptance Behaviour Investigation of Ride-sourcing Drivers Through Agent-based Simulation

    Ghasemi, Farnoud / Ashkrof, Peyman / Kucharski, Rafal | ArXiv | 2023

    Free access

    Infrastructure planning for ride-hailing services using shared autonomous electric vehicles

    Paudel, Diwas / Das, Tapas K. | Taylor & Francis Verlag | 2023