1–14 von 14 Ergebnissen
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    Machine learning approach for spatial modeling of ridesourcing demand

    Zhang, Xiaojian / Zhao, Xilei | Elsevier | 2022

    A segment-level model of shared, electric scooter origins and destinations

    Merlin, Louis A. / Yan, Xiang / Xu, Yiming et al. | Elsevier | 2021

    Analyzing spatial heterogeneity of ridesourcing usage determinants using explainable machine learning

    Zhang, Xiaojian / Zhou, Zhengze / Xu, Yiming et al. | Elsevier | 2023

    A spatiotemporal analysis of e-scooters’ relationships with transit and station-based bikeshare

    Yan, Xiang / Yang, Wencui / Zhang, Xiaojian et al. | Elsevier | 2021

    Evaluating shared e-scooters’ potential to enhance public transit and reduce driving

    Yan, Xiang / Zhao, Xilei / Broaddus, Andrea et al. | Elsevier | 2023

    Micromobility Trip Origin and Destination Inference Using General Bikeshare Feed Specification Data

    Xu, Yiming / Yan, Xiang / Sisiopiku, Virginia P. et al. | Transportation Research Record | 2022

    Shared E-Scooter User Characteristics and Usage Patterns across Four U.S. Cities

    Yang, Wencui / Jafarzadehfadaki, Mostafa / Yan, Xiang et al. | Transportation Research Record | 2023

    Estimating wildfire evacuation decision and departure timing using large-scale GPS data

    Zhao, Xilei / Xu, Yiming / Lovreglio, Ruggiero et al. | Elsevier | 2022