Learning Spatial-Temporal Features of Ride-Hailing Services with Fusion Convolutional Networks

Table 1

Comparison of the predictive performance.

Model	RMSE	MAPE (%)	SMAPE (%)
Additive model	1.86	24.78	29.92
Random forest	1.96	25.52	32.34
ANN	2.04	24.43	29.06
CNN	1.82	25.78	32.22
LSTM	1.82	26.95	35.76
Conv-LSTM	1.83	26.06	32.92
FCL-Net	1.77	25.05	32.48
ST-ResNet	1.75	24.81	31.30
FCN	1.78	27.36	33.85
LC-FCN	1.69	22.98	27.70
LC-LSTM-FCN	1.78	23.00	28.36
LC-ST-FCN	1.67	22.40	27.69

The bold values represent the best results given by the metrics (i.e., RMSE, MAPE, and SMAPE).