Daily Commute Time Prediction Based on Genetic Algorithm

Table 4

Estimation results of the departure time choice models.

Variables	Home-to-work departure time choice model		Work-to-home departure time choice model
	Coef.	𝑡-stat.	Coef.	𝑡-stat.
Income	0.09	19.14*	0.06	16.18*
Age	−0.01	−10.49*	−0.01	−29.41*
Occu-w	—	—	0.43	32.00*
Occu-a	−0.14	−4.60*	0.35	11.44*
Occu-e	−0.72	−27.09*	−0.25	−12.96*
Occu-s	—	—	0.27	11.68*
Occu-h	−0.48	−12.96*	0.33	9.24*
Gender	−0.11	−9.34*	0.08	8.36*
Mode-w	0.18	7.89*	0.42	35.49*
Mode-bi	−0.41	−19.30*	—	—
Mode-bu	—	—	0.59	4.76*
Mode-a	0.10	3.12*	0.41	15.29*
Distance	0.000067	−32.89*	−6.26𝑒−06	−3.11*
Work	0.39	12.92*	—	—
𝛼1	−2.42	—	−1.30	—
𝛼2	−0.98	—	0.01	—
𝛼3	0.58	—	0.97	—
𝛼4	1.60	—	2.07	—
Hit ratio	64.36%		61.00%
𝑃 value	0.0000		0.0000
𝑁	37842

∗Significant at 1% level.