IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i12p5013-d1413443.html
   My bibliography  Save this article

Enhancing Sustainable Urban Intermodal Systems: Simulating the Effects of Key Parameters in Integrated Ride-Pooling and Public Transport

Author

Listed:
  • Ester Lorente

    (Statistics and Operational Research Department, Universitat Politècnica de Catalunya, Jordi Girona 1, Campus Nord, C5, 08034 Barcelona, Spain
    PTV Group, Haid-und-Neu-Str. 15, 76131 Karlsruhe, Germany)

  • Esteve Codina

    (Statistics and Operational Research Department, Universitat Politècnica de Catalunya, Jordi Girona 1, Campus Nord, C5, 08034 Barcelona, Spain)

  • Jaume Barceló

    (Statistics and Operational Research Department, Universitat Politècnica de Catalunya, Jordi Girona 1, Campus Nord, C5, 08034 Barcelona, Spain)

  • Klaus Nökel

    (PTV Group, Haid-und-Neu-Str. 15, 76131 Karlsruhe, Germany)

Abstract

Mobility as a service, and its associated variants, has been proposed as a method to improve the sustainability of transport systems; however, most of the approaches that have been proposed so far have been unsuccessful or have worsened the situation. The work presented in this paper investigates an intermodal system that combines a ride-pooling service with a public transport network. The system is composed of a dedicated simulator that evaluates the transport scenario and an intermodal dispatcher that optimises the service according to requests, accounting for their time windows. This intermodal approach considers trips with multiple legs, for which either ride-pooling or public transport are used. This study investigates how the batch size and the early dispatching of the last leg, supported by a vehicle reservation strategy, impact diverse demand profiles that range from single-passenger to multiple-passenger requests, while also addressing the critical aspect of fleet size. The experimental setting used in this work is the metropolitan area of Barcelona; the experimentation results yield valuable insights into the functionality of the proposed intermodal system.

Suggested Citation

  • Ester Lorente & Esteve Codina & Jaume Barceló & Klaus Nökel, 2024. "Enhancing Sustainable Urban Intermodal Systems: Simulating the Effects of Key Parameters in Integrated Ride-Pooling and Public Transport," Sustainability, MDPI, vol. 16(12), pages 1-26, June.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:12:p:5013-:d:1413443
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/12/5013/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/12/5013/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Liu, Yining & Ouyang, Yanfeng, 2021. "Mobility service design via joint optimization of transit networks and demand-responsive services," Transportation Research Part B: Methodological, Elsevier, vol. 151(C), pages 22-41.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hao, Wu & Martin, Layla, 2022. "Prohibiting cherry-picking: Regulating vehicle sharing services who determine fleet and service structure," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 161(C).
    2. Yining Liu & Yanfeng Ouyang, 2022. "Planning ride-pooling services with detour restrictions for spatially heterogeneous demand: A multi-zone queuing network approach," Papers 2208.02219, arXiv.org, revised Jun 2023.
    3. Mohamed Amjath & Laoucine Kerbache & James MacGregor Smith, 2024. "A Closed Queueing Networks Approach for an Optimal Heterogeneous Fleet Size of an Inter-Facility Bulk Material Transfer System," Logistics, MDPI, vol. 8(1), pages 1-38, March.
    4. Liu, Yining & Ouyang, Yanfeng, 2023. "Planning ride-pooling services with detour restrictions for spatially heterogeneous demand: A multi-zone queuing network approach," Transportation Research Part B: Methodological, Elsevier, vol. 174(C).
    5. Cortina, Mélanie & Chiabaut, Nicolas & Leclercq, Ludovic, 2023. "Fostering synergy between transit and Autonomous Mobility-on-Demand systems: A dynamic modeling approach for the morning commute problem," Transportation Research Part A: Policy and Practice, Elsevier, vol. 170(C).
    6. Si, Jinhua & He, Fang & Lin, Xi & Tang, Xindi, 2024. "Vehicle dispatching and routing of on-demand intercity ride-pooling services: A multi-agent hierarchical reinforcement learning approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 186(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:16:y:2024:i:12:p:5013-:d:1413443. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.