Growing populations and environmental issues are a burden for urban transport systems. Current research fails to offer multimodal integrated solutions maximizing time, cost, emissions, and satisfaction. We introduce the first optimization model integrating carpooling with micro-mobility for multi-leg routing in dynamic urban conditions (peak, weather, accidents). In synthetically generated data calibrated with real-world trends, our framework performs up to 25% shorter travel times, 30% reduced peak-hour emissions, and sub-second computation for 40-node networks over single-mode baselines. The model’s scenario-aware flexibility and policy-controllable weights ( λ 1 to λ 4 ) offer planners a scalable solution for sustainable mobility. The paper’s primary contribution is its integrated optimization framework integrating carpooling, micro-mobility, and multi-leg routing in dynamic urban conditions, an absent component in prior single-mode or static models. Our scenario-based analysis demonstrates up to 30% travel time and emissions reduction over stand-alone mobility solutions.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    A User-Centered Theoretical Model for Future Urban Transit Systems


    Beteiligte:
    Gerald B. Imbugwa (Autor:in) / Tom Gilb (Autor:in) / Manuel Mazzara (Autor:in)


    Erscheinungsdatum :

    2025




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt





    Strategies for User-Centered Adaptation of Future Vehicles

    Reichelt, Florian / Holder, Daniel / Kaufmann, Andreas et al. | Springer Verlag | 2021


    New urban transit systems reconsidered

    Nehashi, Akira | IuD Bahn | 1998


    Urban transit systems and technology

    Vuchic, Vukan R. | TIBKAT | 2007


    Inter urban rapid transit systems

    King, S.Y. | Tema Archiv | 1975