Research Article

Last-Mile Shuttle Planning for Improving Bus Commuters’ Travel Time Reliability: A Case Study of Beijing

Table 5

Fitting results of IVT.

LineGaussianWeibullLaplaceLognormalParameters of best fit

320 upwardsR-square0.9580.9520.9340.996a = 1.315
RMSE0.0190.0190.0220.006b = 0.476

320 downwardsR-square0.9650.9790.9140.987a = 1.339
RMSE0.0150.0110.0570.009b = 0.406

333 upwardsR-square0.9650.9580.9520.992a = 1.328
RMSE0.0150.0160.0180.007b = 0.421

333 downwardsR-square0.9210.8790.9350.956a = 1.275
RMSE0.0210.0260.0190.015b = 0.483

362 upwardsR-square0.9520.9520.9350.995a = 1.12
RMSE0.0200.0200.0230.006b = 0.445

362 downwardsR-square0.9510.9540.9350.990a = 1.113
RMSE0.0190.0180.0210.008b = 0.521

509 upwardsR-square0.9430.9340.9340.986a = 1.211
RMSE0.0210.0230.0230.011b = 0.449

509 downwardsR-square0.9270.9180.9480.972a = 1.430
RMSE0.0180.0190.0160.011b = 0.495

521 upwardsR-square0.9490.9670.9530.980a = 1.143
RMSE0.0170.0150.0170.011b = 0.644

521 downwardsR-square0.9420.9440.9540.982a = 1.024
RMSE0.0220.0210.0200.012b = 0.562

570 upwardsR-square0.9730.9730.9380.996a = 1.145
RMSE0.0160.0150.0230.006b = 0.402

570 downwardsR-square0.9750.9660.9530.992a = 1.192
RMSE0.0160.0180.0210.009b = 0.377

963 upwardsR-square0.9330.9450.9460.989a = 1.384
RMSE0.0150.0130.0140.006b = 0.576

963 downwardsR-square0.9180.9230.9310.981a = 1.319
RMSE0.0190.0180.0170.009b = 0.478

105MR-square0.9770.9680.9630.986a = 1.219
RMSE0.0180.0210.0250.014b = 0.346

116MR-square0.9590.9670.9520.992a = 1.260
RMSE0.0100.0090.01090.004b = 0.501

117MR-square0.9320.9510.9290.983a = 1.317
RMSE0.0220.0190.0230.011b = 0.485

118MR-square0.9600.9710.9490.986a = 1.242
RMSE0.0170.0150.0190.010b = 0.496

120MR-square0.8940.9180.8900.965a = 1.433
RMSE0.0240.0220.0250.014b = 0.463

121MR-square0.8830.9380.8930.983a = 1.117
RMSE0.0280.0210.0270.011b = 0.531

123MR-square0.9530.9520.9380.990a = 1.339
RMSE0.0190.0190.0210.009b = 0.406