1–4 von 4 Ergebnissen
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    Bayesian models with spatial autocorrelation for bike sharing ridership variability based on revealed preference GPS trajectory data

    Freier Zugriff
    Christian, Kapuku / Cho, Shin-Hyung / Kho, Seung-Young et al. | IET | 2019
    Schlagwörter: bike sharing kilometres , bike sharing system , million trip trajectories , bike sharing stations , bike sharing ridership

    Seoul bike trip duration prediction using data mining techniques

    Freier Zugriff
    V E, Sathishkumar / Park, Jangwoo / Cho, Yongyun | IET | 2020
    Schlagwörter: Seoul bike trip duration prediction , Seoul bike sharing system , trip distance , trip-time prediction

    Short-term FFBS demand prediction with multi-source data in a hybrid deep learning framework

    Freier Zugriff
    Bao, Jie / Yu, Hao / Wu, Jiaming | IET | 2019
    Schlagwörter: FFBS trip data , bike-sharing service provider , free-floating bike sharing

    Vehicle scheduling approach and its practice to optimise public bicycle redistribution in Hangzhou

    Freier Zugriff
    Liu, Dongxu / Dong, Hongzhao / Li, Tiebei et al. | IET | 2018
    Schlagwörter: disaggregate trip data , public bicycle sharing programmes