Analyzing Rail Traffic Diversion Based on Machine Learning Technique considering Transportation Security

Table 6

Calibration results of the transfer Logit model parameters.

Variable	Parameter	Standard error	z-statistic
C	−48.30	0.06234	4.26
φt	−7.58	0.02561	−4.61
φcost	−2.97	0.03512	−3.29
δsecurity	5.25	0.02843	3.51
γbus	1.83	0.04813	2.51
λbus	4.19	0.04543	2.04