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    Examine the Prediction Error of Ride-Hailing Travel Demands with Various Ignored Sparse Demand Effects by Zhiju Chen, Kai Liu, Tao Feng

    Published 2022-01-01
    “…This paper attempts to fill this gap and examine the spatiotemporal sparsity effect on ride-hailing travel demand prediction by using Didi Chuxing order data recorded in Chengdu, China. To obtain the spatiotemporal characteristics of the travel demand, three hexagon-based deep learning models (H-CNN-LSTM, H-CNN-GRU, and H-ConvLSTM) are compared by setting various threshold values. …”
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